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Add support for computed holidays in ZH
Reviewed By: chinmay87 Differential Revision: D17431708 fbshipit-source-id: 88b95877f49c0f46e4c9817020c266c37974daa2
This commit is contained in:
Hao Wang
Facebook Github Bot
parent
de8af2395d
commit
c5f697ba5a
@ -21,7 +21,28 @@ import Duckling.Ranking.Types
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classifiers :: Classifiers
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classifiers
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= HashMap.fromList
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[("<time> timezone",
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[("\25490\28783\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [("", 0.0)], n = 3},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\19996\27491\25945\26837\26525\20027\26085",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.791759469228055,
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likelihoods = HashMap.fromList [("", 0.0)], n = 4},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\21360\24230\20016\25910\33410\31532\22235\22825",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [("", 0.0)], n = 3},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("<time> timezone",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods =
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@ -33,20 +54,28 @@ classifiers
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0}}),
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("Thursday",
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Classifier{okData =
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ClassData{prior = -0.4700036292457356,
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unseen = -1.9459101490553135,
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likelihoods = HashMap.fromList [("", 0.0)], n = 5},
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koData =
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ClassData{prior = -0.9808292530117262,
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unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
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("integer (numeric)",
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Classifier{okData =
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ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
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likelihoods = HashMap.fromList [("", 0.0)], n = 65},
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koData =
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ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
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likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
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("\21355\22622\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.9459101490553135,
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likelihoods = HashMap.fromList [("", 0.0)], n = 5},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("integer (numeric)",
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Classifier{okData =
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ClassData{prior = -0.8909729238898653,
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unseen = -3.5263605246161616,
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likelihoods = HashMap.fromList [("", 0.0)], n = 32},
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koData =
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ClassData{prior = -0.5280674302004967, unseen = -3.871201010907891,
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likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
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("the day before yesterday",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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@ -68,6 +97,13 @@ classifiers
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\29369\22826\26032\24180",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("today",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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@ -134,97 +170,159 @@ classifiers
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n = 5}}),
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("national day",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.3025850929940455,
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ClassData{prior = -0.2231435513142097,
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unseen = -2.3025850929940455,
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likelihoods = HashMap.fromList [("", 0.0)], n = 8},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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ClassData{prior = -1.6094379124341003,
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unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
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("number suffix: \21313",
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Classifier{okData =
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ClassData{prior = -0.1823215567939546,
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ClassData{prior = -0.2231435513142097,
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unseen = -3.0910424533583156,
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likelihoods = HashMap.fromList [("", 0.0)], n = 20},
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koData =
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ClassData{prior = -1.791759469228055, unseen = -1.791759469228055,
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likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
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ClassData{prior = -1.6094379124341003,
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unseen = -1.9459101490553135,
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likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
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("Wednesday",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.9444389791664407,
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ClassData{prior = -5.715841383994864e-2,
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unseen = -2.9444389791664407,
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likelihoods = HashMap.fromList [("", 0.0)], n = 17},
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koData =
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ClassData{prior = -2.890371757896165, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
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("\21360\24230\20016\25910\33410\31532\19977\22825",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [("", 0.0)], n = 3},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("hour (grain)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -3.0910424533583156,
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ClassData{prior = -9.53101798043249e-2,
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unseen = -3.0910424533583156,
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likelihoods = HashMap.fromList [("", 0.0)], n = 20},
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koData =
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ClassData{prior = -2.3978952727983707,
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unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
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("\22307\20250\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\20803\26086",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.791759469228055,
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ClassData{prior = -1.0986122886681098, unseen = -1.791759469228055,
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likelihoods = HashMap.fromList [("", 0.0)], n = 4},
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koData =
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ClassData{prior = -0.40546510810816444,
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unseen = -2.3025850929940455,
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likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
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("\32654\22269\29420\31435\26085",
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Classifier{okData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0},
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koData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
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("intersect",
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Classifier{okData =
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ClassData{prior = -0.39204208777602373,
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unseen = -5.198497031265826,
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likelihoods =
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HashMap.fromList
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[("\20799\31461\33410<part-of-day> <dim time>",
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-3.58351893845611),
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("year (numeric with year symbol)\20809\26126\33410",
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-3.1135153092103742),
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("year (numeric with year symbol)\25995\26376",
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-3.8066624897703196),
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("year (numeric with year symbol)\20061\22812\33410",
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-3.8066624897703196),
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("year (numeric with year symbol)<named-month> <day-of-month>",
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-2.3597435068339943),
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("year (numeric with year symbol)\22320\29699\19968\23567\26102",
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-4.0943445622221),
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("dayday", -2.4849066497880004),
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("hourhour", -3.58351893845611),
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("hourminute", -3.58351893845611),
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("absorption of , after named day<named-month> <day-of-month>",
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-2.4849066497880004),
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("year (numeric with year symbol)\22823\25995\26399",
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-3.8066624897703196),
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("year (numeric with year symbol)\22235\26092\33410",
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-4.0943445622221),
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("year (numeric with year symbol)\20303\26842\33410",
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-4.0943445622221),
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("dayminute", -3.58351893845611),
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("tonight<time-of-day> o'clock", -3.58351893845611),
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("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
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-3.58351893845611),
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("yearday", -1.3217558399823195),
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("year (numeric with year symbol)\19971\19971\33410",
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-3.1135153092103742),
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("year (numeric with year symbol)\36926\36234\33410",
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-4.0943445622221),
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("year (numeric with year symbol)\29369\22826\26032\24180",
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-4.0943445622221),
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("yearminute", -4.0943445622221)],
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n = 75},
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koData =
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ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
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likelihoods =
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HashMap.fromList
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[("\20799\31461\33410<part-of-day> <dim time>",
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-2.4277482359480516),
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("dayhour", -3.0155349008501706),
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("daymonth", -2.5455312716044354),
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("year (numeric with year symbol)February",
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-3.0155349008501706),
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("year (numeric with year symbol)Sunday", -3.9318256327243257),
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("<dim time> <part-of-day><time-of-day> o'clock",
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-3.5263605246161616),
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("year (numeric with year symbol)April", -3.5263605246161616),
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("hourhour", -3.5263605246161616),
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("year (numeric with year symbol)March", -2.4277482359480516),
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("hourminute", -3.0155349008501706),
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("yearmonth", -1.916922612182061),
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("dayminute", -3.0155349008501706),
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("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
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-3.0155349008501706),
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("yearday", -3.9318256327243257),
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("absorption of , after named dayFebruary",
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-2.5455312716044354)],
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n = 36}}),
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("\20399\20029\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.3978952727983707,
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likelihoods = HashMap.fromList [("", 0.0)], n = 9},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("intersect",
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Classifier{okData =
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ClassData{prior = -0.6061358035703156, unseen = -4.634728988229636,
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likelihoods =
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HashMap.fromList
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[("\20799\31461\33410<part-of-day> <dim time>",
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-3.0155349008501706),
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("year (numeric with year symbol)<named-month> <day-of-month>",
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-1.791759469228055),
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("dayday", -1.916922612182061),
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("hourhour", -3.0155349008501706),
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("hourminute", -3.0155349008501706),
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("absorption of , after named day<named-month> <day-of-month>",
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-1.916922612182061),
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("dayminute", -3.0155349008501706),
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("tonight<time-of-day> o'clock", -3.0155349008501706),
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("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
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-3.0155349008501706),
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("yearday", -1.791759469228055)],
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n = 42},
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koData =
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ClassData{prior = -0.7884573603642702, unseen = -4.48863636973214,
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likelihoods =
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HashMap.fromList
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[("\20799\31461\33410<part-of-day> <dim time>",
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-2.280112237141987),
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("dayhour", -2.867898902044106),
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("daymonth", -2.3978952727983707),
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("year (numeric with year symbol)February", -2.867898902044106),
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("<dim time> <part-of-day><time-of-day> o'clock",
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-3.378724525810097),
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("year (numeric with year symbol)April", -3.378724525810097),
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("hourhour", -3.378724525810097),
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("year (numeric with year symbol)March", -2.280112237141987),
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("hourminute", -2.867898902044106),
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("yearmonth", -1.7692866133759966),
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("dayminute", -2.867898902044106),
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("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
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-2.867898902044106),
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("absorption of , after named dayFebruary",
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-2.3978952727983707)],
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n = 35}}),
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("year (grain)",
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Classifier{okData =
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ClassData{prior = -0.8209805520698302,
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ClassData{prior = -1.6625477377480489,
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unseen = -2.5649493574615367,
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likelihoods = HashMap.fromList [("", 0.0)], n = 11},
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koData =
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ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
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likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
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ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
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likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
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("Saturday",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.9459101490553135,
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ClassData{prior = -0.8754687373538999,
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unseen = -1.9459101490553135,
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likelihoods = HashMap.fromList [("", 0.0)], n = 5},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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ClassData{prior = -0.5389965007326869,
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unseen = -2.1972245773362196,
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likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
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("next <cycle>",
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Classifier{okData =
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ClassData{prior = -0.7472144018302211,
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@ -251,6 +349,13 @@ classifiers
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\22307\27583\34987\27585\26085",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [("", 0.0)], n = 3},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("this <day-of-week>",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -3.970291913552122,
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@ -263,6 +368,13 @@ classifiers
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koData =
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ClassData{prior = -infinity, unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\35199\36203\25176\25289\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.3025850929940455,
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likelihoods = HashMap.fromList [("", 0.0)], n = 8},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("yyyy-mm-dd",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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@ -277,6 +389,20 @@ classifiers
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\20811\21704\29305\26222\36838\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [("", 0.0)], n = 1},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\21313\32988\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [("", 0.0)], n = 3},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("evening|night",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.791759469228055,
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@ -284,10 +410,39 @@ classifiers
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\20303\26842\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\19977\19968\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\30331\38660\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Monday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.258096538021482,
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\19971\19971\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -305,6 +460,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -327,6 +489,13 @@ classifiers
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("nth <time> of <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -338,6 +507,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22235\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("April",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -345,6 +528,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\20809\26126\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("week (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8434293836092833,
|
||||
@ -356,9 +554,9 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
|
||||
n = 14},
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -369,6 +567,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22823\25995\26399",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24858\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -376,6 +581,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26893\26641\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\28789\33410\24198\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("numbers prefix with -, negative or minus",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
@ -386,11 +612,13 @@ classifiers
|
||||
n = 4}}),
|
||||
("Friday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -405,6 +633,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22522\30563\22307\20307\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\28595\38376\22238\24402\32426\24565\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -412,6 +647,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20804\22969\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.1780538303479458,
|
||||
@ -432,11 +674,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Sunday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -4.8790164169432056e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -3.044522437723423, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -458,6 +701,13 @@ classifiers
|
||||
("hour", -2.2617630984737906), ("month", -2.772588722239781),
|
||||
("minute", -2.772588722239781)],
|
||||
n = 20}}),
|
||||
("\36174\32618\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
@ -540,29 +790,43 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -5.921578419643816,
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.700018029404946),
|
||||
("integer (0..10)month (grain)", -2.517696472610991),
|
||||
("integer (0..10)hour (grain)", -3.0856805102169305),
|
||||
("<number>\20010/\20491week (grain)", -3.520998581474776),
|
||||
("second", -3.2798365246578878),
|
||||
("integer (0..10)day (grain)", -3.0856805102169305),
|
||||
("number suffix: \21313month (grain)", -4.309455941839047),
|
||||
("integer (0..10)year (grain)", -3.6163087612791007),
|
||||
("<number>\20010/\20491month (grain)", -3.146305132033365),
|
||||
("integer (numeric)year (grain)", -3.2108436531709366),
|
||||
("integer (0..10)second (grain)", -3.2798365246578878),
|
||||
("day", -3.0856805102169305), ("year", -2.740840023925201),
|
||||
("integer (0..10)minute (grain)", -3.0856805102169305),
|
||||
("hour", -2.8743714165497236),
|
||||
("integer (0..10)week (grain)", -3.2108436531709366),
|
||||
("month", -1.7445065843775094),
|
||||
("<number>\20010/\20491hour (grain)", -4.309455941839047),
|
||||
("integer (numeric)month (grain)", -3.0856805102169305),
|
||||
("minute", -3.0856805102169305)],
|
||||
n = 176}}),
|
||||
[("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("number suffix: \21313month (grain)", -4.508659285607248),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31709\28779\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
@ -585,8 +849,8 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -625,6 +889,20 @@ classifiers
|
||||
[("daymonth", -0.8109302162163288),
|
||||
("SundayFebruary", -0.8109302162163288)],
|
||||
n = 7}}),
|
||||
("\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\38463\33298\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
@ -643,6 +921,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\25289\25746\36335\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<duration> ago",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
@ -675,6 +968,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20234\26031\20848\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
@ -682,6 +982,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24320\25995\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -689,6 +996,15 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("\22919\22899\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -696,6 +1012,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20840\29699\38738\24180\26381\21153\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27431\21335\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20061\22812\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
|
||||
@ -730,6 +1067,13 @@ classifiers
|
||||
[("week", -0.8362480242006186),
|
||||
("week (grain)", -0.8362480242006186)],
|
||||
n = 12}}),
|
||||
("\20197\33394\21015\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
@ -761,6 +1105,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21476\23572\37030\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20799\31461\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -770,11 +1121,28 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Tuesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.295836866004329,
|
||||
ClassData{prior = -3.922071315328127e-2,
|
||||
unseen = -3.295836866004329,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 25},
|
||||
koData =
|
||||
ClassData{prior = -3.258096538021482, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\26149\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.4418327522790392,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
@ -800,14 +1168,30 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22823\25995\39318\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (0..10)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5631808540999187,
|
||||
ClassData{prior = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
koData =
|
||||
ClassData{prior = -0.8425641237370046, unseen = -4.812184355372417,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 121}}),
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -833,17 +1217,16 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("ordinal (digits)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.9459101490553135,
|
||||
likelihoods =
|
||||
HashMap.fromList [("<number>\20010/\20491", -0.1823215567939546)],
|
||||
n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList [("integer (0..10)", -8.701137698962981e-2)],
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
@ -868,6 +1251,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("morning",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
@ -882,14 +1272,38 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("day (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -6.453852113757118e-2,
|
||||
ClassData{prior = -0.38299225225610584,
|
||||
unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
|
||||
koData =
|
||||
ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = -1.1451323043030026,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("\22307\32426\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
@ -904,6 +1318,34 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20116\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31070\22307\26143\26399\22235",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\25995\26376",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27861\20196\20043\22812",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.07753744390572,
|
||||
|
||||
@ -21,7 +21,28 @@ import Duckling.Ranking.Types
|
||||
classifiers :: Classifiers
|
||||
classifiers
|
||||
= HashMap.fromList
|
||||
[("<time> timezone",
|
||||
[("\25490\28783\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time> timezone",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
@ -33,20 +54,28 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Thursday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8909729238898653,
|
||||
unseen = -3.5263605246161616,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 32},
|
||||
koData =
|
||||
ClassData{prior = -0.5280674302004967, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -68,6 +97,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("today",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -134,97 +170,159 @@ classifiers
|
||||
n = 5}}),
|
||||
("national day",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("number suffix: \21313",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1823215567939546,
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -1.791759469228055, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Wednesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.9444389791664407,
|
||||
ClassData{prior = -5.715841383994864e-2,
|
||||
unseen = -2.9444389791664407,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 17},
|
||||
koData =
|
||||
ClassData{prior = -2.890371757896165, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\21360\24230\20016\25910\33410\31532\19977\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("hour (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -9.53101798043249e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -2.3978952727983707,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\20250\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20803\26086",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
ClassData{prior = -1.0986122886681098, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
|
||||
("\32654\22269\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-1.791759469228055),
|
||||
("dayday", -1.916922612182061),
|
||||
("hourhour", -3.0155349008501706),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("tonight<time-of-day> o'clock", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -1.791759469228055)],
|
||||
n = 42},
|
||||
koData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -4.48863636973214,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.280112237141987),
|
||||
("dayhour", -2.867898902044106),
|
||||
("daymonth", -2.3978952727983707),
|
||||
("year (numeric with year symbol)February", -2.867898902044106),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.378724525810097),
|
||||
("year (numeric with year symbol)April", -3.378724525810097),
|
||||
("hourhour", -3.378724525810097),
|
||||
("year (numeric with year symbol)March", -2.280112237141987),
|
||||
("hourminute", -2.867898902044106),
|
||||
("yearmonth", -1.7692866133759966),
|
||||
("dayminute", -2.867898902044106),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-2.867898902044106),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.3978952727983707)],
|
||||
n = 35}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8209805520698302,
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("next <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7472144018302211,
|
||||
@ -251,6 +349,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\27583\34987\27585\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.970291913552122,
|
||||
@ -263,6 +368,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\35199\36203\25176\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("yyyy-mm-dd",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -277,6 +389,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20811\21704\29305\26222\36838\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21313\32988\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("evening|night",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -284,10 +410,39 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20303\26842\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\19977\19968\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\30331\38660\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Monday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.258096538021482,
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\19971\19971\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -305,6 +460,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -327,6 +489,13 @@ classifiers
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("nth <time> of <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -338,6 +507,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22235\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("April",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -345,6 +528,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\20809\26126\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("week (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8434293836092833,
|
||||
@ -356,9 +554,9 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
|
||||
n = 14},
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -369,6 +567,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22823\25995\26399",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24858\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -376,6 +581,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26893\26641\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\28789\33410\24198\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("numbers prefix with -, negative or minus",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
@ -386,11 +612,13 @@ classifiers
|
||||
n = 4}}),
|
||||
("Friday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -405,6 +633,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22522\30563\22307\20307\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\28595\38376\22238\24402\32426\24565\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -412,6 +647,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20804\22969\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.1780538303479458,
|
||||
@ -432,11 +674,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Sunday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -4.8790164169432056e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -3.044522437723423, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -458,6 +701,13 @@ classifiers
|
||||
("hour", -2.2617630984737906), ("month", -2.772588722239781),
|
||||
("minute", -2.772588722239781)],
|
||||
n = 20}}),
|
||||
("\36174\32618\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
@ -540,29 +790,43 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -5.921578419643816,
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.700018029404946),
|
||||
("integer (0..10)month (grain)", -2.517696472610991),
|
||||
("integer (0..10)hour (grain)", -3.0856805102169305),
|
||||
("<number>\20010/\20491week (grain)", -3.520998581474776),
|
||||
("second", -3.2798365246578878),
|
||||
("integer (0..10)day (grain)", -3.0856805102169305),
|
||||
("number suffix: \21313month (grain)", -4.309455941839047),
|
||||
("integer (0..10)year (grain)", -3.6163087612791007),
|
||||
("<number>\20010/\20491month (grain)", -3.146305132033365),
|
||||
("integer (numeric)year (grain)", -3.2108436531709366),
|
||||
("integer (0..10)second (grain)", -3.2798365246578878),
|
||||
("day", -3.0856805102169305), ("year", -2.740840023925201),
|
||||
("integer (0..10)minute (grain)", -3.0856805102169305),
|
||||
("hour", -2.8743714165497236),
|
||||
("integer (0..10)week (grain)", -3.2108436531709366),
|
||||
("month", -1.7445065843775094),
|
||||
("<number>\20010/\20491hour (grain)", -4.309455941839047),
|
||||
("integer (numeric)month (grain)", -3.0856805102169305),
|
||||
("minute", -3.0856805102169305)],
|
||||
n = 176}}),
|
||||
[("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("number suffix: \21313month (grain)", -4.508659285607248),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31709\28779\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
@ -585,8 +849,8 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -625,6 +889,20 @@ classifiers
|
||||
[("daymonth", -0.8109302162163288),
|
||||
("SundayFebruary", -0.8109302162163288)],
|
||||
n = 7}}),
|
||||
("\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\38463\33298\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
@ -643,6 +921,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\25289\25746\36335\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<duration> ago",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
@ -675,6 +968,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20234\26031\20848\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
@ -682,6 +982,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24320\25995\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -689,6 +996,15 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("\22919\22899\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -696,6 +1012,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20840\29699\38738\24180\26381\21153\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27431\21335\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20061\22812\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
|
||||
@ -730,6 +1067,13 @@ classifiers
|
||||
[("week", -0.8362480242006186),
|
||||
("week (grain)", -0.8362480242006186)],
|
||||
n = 12}}),
|
||||
("\20197\33394\21015\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
@ -761,6 +1105,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21476\23572\37030\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20799\31461\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -770,11 +1121,28 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Tuesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.295836866004329,
|
||||
ClassData{prior = -3.922071315328127e-2,
|
||||
unseen = -3.295836866004329,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 25},
|
||||
koData =
|
||||
ClassData{prior = -3.258096538021482, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\26149\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.4418327522790392,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
@ -800,14 +1168,30 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22823\25995\39318\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (0..10)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5631808540999187,
|
||||
ClassData{prior = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
koData =
|
||||
ClassData{prior = -0.8425641237370046, unseen = -4.812184355372417,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 121}}),
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -833,17 +1217,16 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("ordinal (digits)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.9459101490553135,
|
||||
likelihoods =
|
||||
HashMap.fromList [("<number>\20010/\20491", -0.1823215567939546)],
|
||||
n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList [("integer (0..10)", -8.701137698962981e-2)],
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
@ -868,6 +1251,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("morning",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
@ -882,14 +1272,38 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("day (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -6.453852113757118e-2,
|
||||
ClassData{prior = -0.38299225225610584,
|
||||
unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
|
||||
koData =
|
||||
ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = -1.1451323043030026,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("\22307\32426\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
@ -904,6 +1318,34 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20116\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31070\22307\26143\26399\22235",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\25995\26376",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27861\20196\20043\22812",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.07753744390572,
|
||||
|
||||
@ -21,7 +21,28 @@ import Duckling.Ranking.Types
|
||||
classifiers :: Classifiers
|
||||
classifiers
|
||||
= HashMap.fromList
|
||||
[("<time> timezone",
|
||||
[("\25490\28783\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time> timezone",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
@ -33,20 +54,28 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Thursday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8909729238898653,
|
||||
unseen = -3.5263605246161616,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 32},
|
||||
koData =
|
||||
ClassData{prior = -0.5280674302004967, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -68,6 +97,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("today",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -134,97 +170,159 @@ classifiers
|
||||
n = 5}}),
|
||||
("national day",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("number suffix: \21313",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1823215567939546,
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -1.791759469228055, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Wednesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.9444389791664407,
|
||||
ClassData{prior = -5.715841383994864e-2,
|
||||
unseen = -2.9444389791664407,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 17},
|
||||
koData =
|
||||
ClassData{prior = -2.890371757896165, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\21360\24230\20016\25910\33410\31532\19977\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("hour (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -9.53101798043249e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -2.3978952727983707,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\20250\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20803\26086",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
ClassData{prior = -1.0986122886681098, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
|
||||
("\32654\22269\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-1.791759469228055),
|
||||
("dayday", -1.916922612182061),
|
||||
("hourhour", -3.0155349008501706),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("tonight<time-of-day> o'clock", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -1.791759469228055)],
|
||||
n = 42},
|
||||
koData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -4.48863636973214,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.280112237141987),
|
||||
("dayhour", -2.867898902044106),
|
||||
("daymonth", -2.3978952727983707),
|
||||
("year (numeric with year symbol)February", -2.867898902044106),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.378724525810097),
|
||||
("year (numeric with year symbol)April", -3.378724525810097),
|
||||
("hourhour", -3.378724525810097),
|
||||
("year (numeric with year symbol)March", -2.280112237141987),
|
||||
("hourminute", -2.867898902044106),
|
||||
("yearmonth", -1.7692866133759966),
|
||||
("dayminute", -2.867898902044106),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-2.867898902044106),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.3978952727983707)],
|
||||
n = 35}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8209805520698302,
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("next <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7472144018302211,
|
||||
@ -251,6 +349,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\27583\34987\27585\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.970291913552122,
|
||||
@ -263,6 +368,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\35199\36203\25176\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("yyyy-mm-dd",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -277,6 +389,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20811\21704\29305\26222\36838\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21313\32988\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("evening|night",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -284,10 +410,39 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20303\26842\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\19977\19968\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\30331\38660\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Monday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.258096538021482,
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\19971\19971\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -305,6 +460,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -327,6 +489,13 @@ classifiers
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("nth <time> of <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -338,6 +507,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22235\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("April",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -345,6 +528,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\20809\26126\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("week (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8434293836092833,
|
||||
@ -356,9 +554,9 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
|
||||
n = 14},
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -369,6 +567,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22823\25995\26399",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24858\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -376,6 +581,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26893\26641\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\28789\33410\24198\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("numbers prefix with -, negative or minus",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
@ -386,11 +612,13 @@ classifiers
|
||||
n = 4}}),
|
||||
("Friday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -405,6 +633,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22522\30563\22307\20307\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\28595\38376\22238\24402\32426\24565\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -412,6 +647,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20804\22969\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.1780538303479458,
|
||||
@ -432,11 +674,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Sunday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -4.8790164169432056e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -3.044522437723423, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -458,6 +701,13 @@ classifiers
|
||||
("hour", -2.2617630984737906), ("month", -2.772588722239781),
|
||||
("minute", -2.772588722239781)],
|
||||
n = 20}}),
|
||||
("\36174\32618\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
@ -540,29 +790,43 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -5.921578419643816,
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.700018029404946),
|
||||
("integer (0..10)month (grain)", -2.517696472610991),
|
||||
("integer (0..10)hour (grain)", -3.0856805102169305),
|
||||
("<number>\20010/\20491week (grain)", -3.520998581474776),
|
||||
("second", -3.2798365246578878),
|
||||
("integer (0..10)day (grain)", -3.0856805102169305),
|
||||
("number suffix: \21313month (grain)", -4.309455941839047),
|
||||
("integer (0..10)year (grain)", -3.6163087612791007),
|
||||
("<number>\20010/\20491month (grain)", -3.146305132033365),
|
||||
("integer (numeric)year (grain)", -3.2108436531709366),
|
||||
("integer (0..10)second (grain)", -3.2798365246578878),
|
||||
("day", -3.0856805102169305), ("year", -2.740840023925201),
|
||||
("integer (0..10)minute (grain)", -3.0856805102169305),
|
||||
("hour", -2.8743714165497236),
|
||||
("integer (0..10)week (grain)", -3.2108436531709366),
|
||||
("month", -1.7445065843775094),
|
||||
("<number>\20010/\20491hour (grain)", -4.309455941839047),
|
||||
("integer (numeric)month (grain)", -3.0856805102169305),
|
||||
("minute", -3.0856805102169305)],
|
||||
n = 176}}),
|
||||
[("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("number suffix: \21313month (grain)", -4.508659285607248),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31709\28779\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
@ -585,8 +849,8 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -625,6 +889,20 @@ classifiers
|
||||
[("daymonth", -0.8109302162163288),
|
||||
("SundayFebruary", -0.8109302162163288)],
|
||||
n = 7}}),
|
||||
("\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\38463\33298\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
@ -643,6 +921,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\25289\25746\36335\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<duration> ago",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
@ -675,6 +968,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20234\26031\20848\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
@ -682,6 +982,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24320\25995\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -689,6 +996,15 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("\22919\22899\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -696,6 +1012,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20840\29699\38738\24180\26381\21153\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27431\21335\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20061\22812\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
|
||||
@ -730,6 +1067,13 @@ classifiers
|
||||
[("week", -0.8362480242006186),
|
||||
("week (grain)", -0.8362480242006186)],
|
||||
n = 12}}),
|
||||
("\20197\33394\21015\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
@ -761,6 +1105,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21476\23572\37030\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20799\31461\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -770,11 +1121,28 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Tuesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.295836866004329,
|
||||
ClassData{prior = -3.922071315328127e-2,
|
||||
unseen = -3.295836866004329,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 25},
|
||||
koData =
|
||||
ClassData{prior = -3.258096538021482, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\26149\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.4418327522790392,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
@ -800,14 +1168,30 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22823\25995\39318\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (0..10)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5631808540999187,
|
||||
ClassData{prior = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
koData =
|
||||
ClassData{prior = -0.8425641237370046, unseen = -4.812184355372417,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 121}}),
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -833,17 +1217,16 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("ordinal (digits)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.9459101490553135,
|
||||
likelihoods =
|
||||
HashMap.fromList [("<number>\20010/\20491", -0.1823215567939546)],
|
||||
n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList [("integer (0..10)", -8.701137698962981e-2)],
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
@ -868,6 +1251,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("morning",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
@ -882,14 +1272,38 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("day (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -6.453852113757118e-2,
|
||||
ClassData{prior = -0.38299225225610584,
|
||||
unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
|
||||
koData =
|
||||
ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = -1.1451323043030026,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("\22307\32426\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
@ -904,6 +1318,34 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20116\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31070\22307\26143\26399\22235",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\25995\26376",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27861\20196\20043\22812",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.07753744390572,
|
||||
|
||||
@ -21,7 +21,28 @@ import Duckling.Ranking.Types
|
||||
classifiers :: Classifiers
|
||||
classifiers
|
||||
= HashMap.fromList
|
||||
[("<time> timezone",
|
||||
[("\25490\28783\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time> timezone",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
@ -33,20 +54,28 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Thursday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8909729238898653,
|
||||
unseen = -3.5263605246161616,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 32},
|
||||
koData =
|
||||
ClassData{prior = -0.5280674302004967, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -68,6 +97,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("today",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -134,97 +170,159 @@ classifiers
|
||||
n = 5}}),
|
||||
("national day",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("number suffix: \21313",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1823215567939546,
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -1.791759469228055, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Wednesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.9444389791664407,
|
||||
ClassData{prior = -5.715841383994864e-2,
|
||||
unseen = -2.9444389791664407,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 17},
|
||||
koData =
|
||||
ClassData{prior = -2.890371757896165, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\21360\24230\20016\25910\33410\31532\19977\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("hour (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -9.53101798043249e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -2.3978952727983707,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\20250\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20803\26086",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
ClassData{prior = -1.0986122886681098, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
|
||||
("\32654\22269\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-1.791759469228055),
|
||||
("dayday", -1.916922612182061),
|
||||
("hourhour", -3.0155349008501706),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("tonight<time-of-day> o'clock", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -1.791759469228055)],
|
||||
n = 42},
|
||||
koData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -4.48863636973214,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.280112237141987),
|
||||
("dayhour", -2.867898902044106),
|
||||
("daymonth", -2.3978952727983707),
|
||||
("year (numeric with year symbol)February", -2.867898902044106),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.378724525810097),
|
||||
("year (numeric with year symbol)April", -3.378724525810097),
|
||||
("hourhour", -3.378724525810097),
|
||||
("year (numeric with year symbol)March", -2.280112237141987),
|
||||
("hourminute", -2.867898902044106),
|
||||
("yearmonth", -1.7692866133759966),
|
||||
("dayminute", -2.867898902044106),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-2.867898902044106),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.3978952727983707)],
|
||||
n = 35}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8209805520698302,
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("next <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7472144018302211,
|
||||
@ -251,6 +349,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\27583\34987\27585\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.970291913552122,
|
||||
@ -263,6 +368,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\35199\36203\25176\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("yyyy-mm-dd",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -277,6 +389,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20811\21704\29305\26222\36838\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21313\32988\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("evening|night",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -284,10 +410,39 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20303\26842\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\19977\19968\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\30331\38660\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Monday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.258096538021482,
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\19971\19971\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -305,6 +460,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -327,6 +489,13 @@ classifiers
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("nth <time> of <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -338,6 +507,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22235\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("April",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -345,6 +528,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\20809\26126\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("week (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8434293836092833,
|
||||
@ -356,9 +554,9 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
|
||||
n = 14},
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -369,6 +567,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22823\25995\26399",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24858\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -376,6 +581,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26893\26641\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\28789\33410\24198\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("numbers prefix with -, negative or minus",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
@ -386,11 +612,13 @@ classifiers
|
||||
n = 4}}),
|
||||
("Friday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -405,6 +633,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22522\30563\22307\20307\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\28595\38376\22238\24402\32426\24565\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -412,6 +647,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20804\22969\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.1780538303479458,
|
||||
@ -432,11 +674,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Sunday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -4.8790164169432056e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -3.044522437723423, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -458,6 +701,13 @@ classifiers
|
||||
("hour", -2.2617630984737906), ("month", -2.772588722239781),
|
||||
("minute", -2.772588722239781)],
|
||||
n = 20}}),
|
||||
("\36174\32618\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
@ -540,29 +790,43 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -5.921578419643816,
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.700018029404946),
|
||||
("integer (0..10)month (grain)", -2.517696472610991),
|
||||
("integer (0..10)hour (grain)", -3.0856805102169305),
|
||||
("<number>\20010/\20491week (grain)", -3.520998581474776),
|
||||
("second", -3.2798365246578878),
|
||||
("integer (0..10)day (grain)", -3.0856805102169305),
|
||||
("number suffix: \21313month (grain)", -4.309455941839047),
|
||||
("integer (0..10)year (grain)", -3.6163087612791007),
|
||||
("<number>\20010/\20491month (grain)", -3.146305132033365),
|
||||
("integer (numeric)year (grain)", -3.2108436531709366),
|
||||
("integer (0..10)second (grain)", -3.2798365246578878),
|
||||
("day", -3.0856805102169305), ("year", -2.740840023925201),
|
||||
("integer (0..10)minute (grain)", -3.0856805102169305),
|
||||
("hour", -2.8743714165497236),
|
||||
("integer (0..10)week (grain)", -3.2108436531709366),
|
||||
("month", -1.7445065843775094),
|
||||
("<number>\20010/\20491hour (grain)", -4.309455941839047),
|
||||
("integer (numeric)month (grain)", -3.0856805102169305),
|
||||
("minute", -3.0856805102169305)],
|
||||
n = 176}}),
|
||||
[("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("number suffix: \21313month (grain)", -4.508659285607248),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31709\28779\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
@ -585,8 +849,8 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -625,6 +889,20 @@ classifiers
|
||||
[("daymonth", -0.8109302162163288),
|
||||
("SundayFebruary", -0.8109302162163288)],
|
||||
n = 7}}),
|
||||
("\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\38463\33298\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
@ -643,6 +921,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\25289\25746\36335\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<duration> ago",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
@ -675,6 +968,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20234\26031\20848\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
@ -682,6 +982,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24320\25995\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -689,6 +996,15 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("\22919\22899\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -696,6 +1012,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20840\29699\38738\24180\26381\21153\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27431\21335\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20061\22812\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
|
||||
@ -730,6 +1067,13 @@ classifiers
|
||||
[("week", -0.8362480242006186),
|
||||
("week (grain)", -0.8362480242006186)],
|
||||
n = 12}}),
|
||||
("\20197\33394\21015\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
@ -761,6 +1105,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21476\23572\37030\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20799\31461\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -770,11 +1121,28 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Tuesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.295836866004329,
|
||||
ClassData{prior = -3.922071315328127e-2,
|
||||
unseen = -3.295836866004329,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 25},
|
||||
koData =
|
||||
ClassData{prior = -3.258096538021482, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\26149\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.4418327522790392,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
@ -800,14 +1168,30 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22823\25995\39318\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (0..10)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5631808540999187,
|
||||
ClassData{prior = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
koData =
|
||||
ClassData{prior = -0.8425641237370046, unseen = -4.812184355372417,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 121}}),
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -833,17 +1217,16 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("ordinal (digits)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.9459101490553135,
|
||||
likelihoods =
|
||||
HashMap.fromList [("<number>\20010/\20491", -0.1823215567939546)],
|
||||
n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList [("integer (0..10)", -8.701137698962981e-2)],
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
@ -868,6 +1251,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("morning",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
@ -882,14 +1272,38 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("day (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -6.453852113757118e-2,
|
||||
ClassData{prior = -0.38299225225610584,
|
||||
unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
|
||||
koData =
|
||||
ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = -1.1451323043030026,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("\22307\32426\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
@ -904,6 +1318,34 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20116\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31070\22307\26143\26399\22235",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\25995\26376",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27861\20196\20043\22812",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.07753744390572,
|
||||
|
||||
@ -21,7 +21,28 @@ import Duckling.Ranking.Types
|
||||
classifiers :: Classifiers
|
||||
classifiers
|
||||
= HashMap.fromList
|
||||
[("<time> timezone",
|
||||
[("\25490\28783\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time> timezone",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
@ -33,20 +54,28 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Thursday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8909729238898653,
|
||||
unseen = -3.5263605246161616,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 32},
|
||||
koData =
|
||||
ClassData{prior = -0.5280674302004967, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -68,6 +97,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("today",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -134,90 +170,150 @@ classifiers
|
||||
n = 5}}),
|
||||
("number suffix: \21313",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1823215567939546,
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -1.791759469228055, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Wednesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.9444389791664407,
|
||||
ClassData{prior = -5.715841383994864e-2,
|
||||
unseen = -2.9444389791664407,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 17},
|
||||
koData =
|
||||
ClassData{prior = -2.890371757896165, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\21360\24230\20016\25910\33410\31532\19977\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("hour (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -9.53101798043249e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -2.3978952727983707,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\20250\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20803\26086",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
ClassData{prior = -1.0986122886681098, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
|
||||
("\32654\22269\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.634728988229636,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-1.791759469228055),
|
||||
("dayday", -1.916922612182061),
|
||||
("hourhour", -3.0155349008501706),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("tonight<time-of-day> o'clock", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -1.791759469228055)],
|
||||
n = 42},
|
||||
koData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -4.48863636973214,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.280112237141987),
|
||||
("dayhour", -2.867898902044106),
|
||||
("daymonth", -2.3978952727983707),
|
||||
("year (numeric with year symbol)February", -2.867898902044106),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.378724525810097),
|
||||
("year (numeric with year symbol)April", -3.378724525810097),
|
||||
("hourhour", -3.378724525810097),
|
||||
("year (numeric with year symbol)March", -2.280112237141987),
|
||||
("hourminute", -2.867898902044106),
|
||||
("yearmonth", -1.7692866133759966),
|
||||
("dayminute", -2.867898902044106),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-2.867898902044106),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.3978952727983707)],
|
||||
n = 35}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8209805520698302,
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("next <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7472144018302211,
|
||||
@ -244,6 +340,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\27583\34987\27585\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.970291913552122,
|
||||
@ -256,6 +359,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\35199\36203\25176\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3025850929940455,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("yyyy-mm-dd",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -270,6 +380,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20811\21704\29305\26222\36838\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21313\32988\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("evening|night",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -277,10 +401,39 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20303\26842\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\19977\19968\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\30331\38660\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Monday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.258096538021482,
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\19971\19971\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -298,6 +451,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -320,6 +480,13 @@ classifiers
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("nth <time> of <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -331,6 +498,20 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22235\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("April",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -338,6 +519,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\20809\26126\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("week (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8434293836092833,
|
||||
@ -349,9 +545,9 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
|
||||
n = 14},
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -362,6 +558,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22823\25995\26399",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24858\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -369,6 +572,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\29369\22826\26893\26641\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\28789\33410\24198\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("numbers prefix with -, negative or minus",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
@ -379,11 +603,13 @@ classifiers
|
||||
n = 4}}),
|
||||
("Friday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -398,6 +624,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22522\30563\22307\20307\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\28595\38376\22238\24402\32426\24565\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -405,6 +638,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20804\22969\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <day-of-week>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.1780538303479458,
|
||||
@ -425,11 +665,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("Sunday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.0910424533583156,
|
||||
ClassData{prior = -4.8790164169432056e-2,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -3.044522437723423, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -451,6 +692,13 @@ classifiers
|
||||
("hour", -2.2617630984737906), ("month", -2.772588722239781),
|
||||
("minute", -2.772588722239781)],
|
||||
n = 20}}),
|
||||
("\36174\32618\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
@ -532,29 +780,43 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -5.921578419643816,
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.700018029404946),
|
||||
("integer (0..10)month (grain)", -2.517696472610991),
|
||||
("integer (0..10)hour (grain)", -3.0856805102169305),
|
||||
("<number>\20010/\20491week (grain)", -3.520998581474776),
|
||||
("second", -3.2798365246578878),
|
||||
("integer (0..10)day (grain)", -3.0856805102169305),
|
||||
("number suffix: \21313month (grain)", -4.309455941839047),
|
||||
("integer (0..10)year (grain)", -3.6163087612791007),
|
||||
("<number>\20010/\20491month (grain)", -3.146305132033365),
|
||||
("integer (numeric)year (grain)", -3.2108436531709366),
|
||||
("integer (0..10)second (grain)", -3.2798365246578878),
|
||||
("day", -3.0856805102169305), ("year", -2.740840023925201),
|
||||
("integer (0..10)minute (grain)", -3.0856805102169305),
|
||||
("hour", -2.8743714165497236),
|
||||
("integer (0..10)week (grain)", -3.2108436531709366),
|
||||
("month", -1.7445065843775094),
|
||||
("<number>\20010/\20491hour (grain)", -4.309455941839047),
|
||||
("integer (numeric)month (grain)", -3.0856805102169305),
|
||||
("minute", -3.0856805102169305)],
|
||||
n = 176}}),
|
||||
[("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("number suffix: \21313month (grain)", -4.508659285607248),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31709\28779\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
@ -577,8 +839,8 @@ classifiers
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -617,6 +879,20 @@ classifiers
|
||||
[("daymonth", -0.8109302162163288),
|
||||
("SundayFebruary", -0.8109302162163288)],
|
||||
n = 7}}),
|
||||
("\26837\26525\20027\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
|
||||
("\38463\33298\25289\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
@ -635,6 +911,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19996\27491\25945\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\25289\25746\36335\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<duration> ago",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
@ -667,6 +958,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20234\26031\20848\26032\24180",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
@ -674,6 +972,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24320\25995\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -681,6 +986,15 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("\22919\22899\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -688,6 +1002,27 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20840\29699\38738\24180\26381\21153\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27431\21335\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20061\22812\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
|
||||
@ -722,6 +1057,13 @@ classifiers
|
||||
[("week", -0.8362480242006186),
|
||||
("week (grain)", -0.8362480242006186)],
|
||||
n = 12}}),
|
||||
("\20197\33394\21015\29420\31435\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
@ -753,6 +1095,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21476\23572\37030\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20799\31461\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -762,11 +1111,28 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("Tuesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.295836866004329,
|
||||
ClassData{prior = -3.922071315328127e-2,
|
||||
unseen = -3.295836866004329,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 25},
|
||||
koData =
|
||||
ClassData{prior = -3.258096538021482, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("\26149\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.4418327522790392,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
@ -792,14 +1158,30 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410\26143\26399\19968",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22823\25995\39318\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (0..10)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5631808540999187,
|
||||
ClassData{prior = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
koData =
|
||||
ClassData{prior = -0.8425641237370046, unseen = -4.812184355372417,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 121}}),
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -825,17 +1207,16 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("ordinal (digits)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -1.252762968495368, unseen = -1.9459101490553135,
|
||||
likelihoods =
|
||||
HashMap.fromList [("<number>\20010/\20491", -0.1823215567939546)],
|
||||
n = 4},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -0.3364722366212129,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList [("integer (0..10)", -8.701137698962981e-2)],
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
@ -860,6 +1241,13 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("morning",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
@ -874,14 +1262,38 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("day (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -6.453852113757118e-2,
|
||||
ClassData{prior = -0.38299225225610584,
|
||||
unseen = -2.833213344056216,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
|
||||
koData =
|
||||
ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
ClassData{prior = -1.1451323043030026,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
|
||||
("\22307\32426\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\22797\27963\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
@ -896,6 +1308,34 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\20116\26092\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\31070\22307\26143\26399\22235",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\25995\26376",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\27861\20196\20043\22812",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("this <time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.07753744390572,
|
||||
|
||||
@ -524,4 +524,308 @@ allExamples = concat
|
||||
[ "情人节晚上"
|
||||
, "情人節晚上"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 9, 13, 0, 0, 0) Day "赎罪日")
|
||||
[ "赎罪日"
|
||||
, "贖罪日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 9, 13, 0, 0, 0) Day "赎罪日")
|
||||
[ "赎罪日"
|
||||
, "贖罪日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 2, 13, 0, 0, 0) Day "大斋首日")
|
||||
[ "大斋首日"
|
||||
, "聖灰星期三"
|
||||
, "灰日"
|
||||
, "圣灰礼仪日"
|
||||
, "圣灰日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 11, 13, 0, 0, 0) Day "阿舒拉节")
|
||||
[ "阿舒拉節"
|
||||
]
|
||||
-- wiki says 11/8
|
||||
, examples (datetimeHoliday (2013, 11, 9, 0, 0, 0) Day "克哈特普迦节")
|
||||
[ "克哈特普迦节"
|
||||
]
|
||||
, examples (datetimeHoliday (2014, 1, 31, 0, 0, 0) Day "春节")
|
||||
[ "春节"
|
||||
, "农历新年"
|
||||
, "新春"
|
||||
, "正月正时"
|
||||
, "正月朔日"
|
||||
, "正月正時"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 30, 0, 0, 0) Day "基督圣体节")
|
||||
[ "基督聖體节"
|
||||
, "基督聖體聖血瞻礼"
|
||||
, "基督聖體聖血節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 11, 3, 0, 0, 0) Day "排灯节")
|
||||
[ "万灯节"
|
||||
, "印度燈節"
|
||||
, "排灯节"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 4, 1, 0, 0, 0) Day "复活节星期一")
|
||||
[ "复活节星期一"
|
||||
, "復活節星期一"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 3, 31, 0, 0, 0) Day "复活节")
|
||||
[ "复活节"
|
||||
, "復活節"
|
||||
, "主復活日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 10, 15, 0, 0, 0) Day "古尔邦节")
|
||||
[ "古尔邦节"
|
||||
, "古爾邦節"
|
||||
, "宰牲节"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 8, 8, 0, 0, 0) Day "开斋节")
|
||||
[ "开斋节"
|
||||
, "開齋節"
|
||||
, "肉孜节"
|
||||
, "尔代节"
|
||||
, "爾代節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 3, 29, 0, 0, 0) Day "耶稣受难日")
|
||||
[ "主受难日"
|
||||
, "主受难节"
|
||||
, "沈默周五"
|
||||
, "聖週五"
|
||||
, "耶穌受難日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 3, 26, 0, 0, 0) Day "侯丽节")
|
||||
[ "侯丽节"
|
||||
, "荷麗节"
|
||||
, "洒红节"
|
||||
, "灑紅节"
|
||||
, "欢悦节"
|
||||
, "五彩節"
|
||||
, "胡里节"
|
||||
, "好利节"
|
||||
, "霍利節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 3, 30, 0, 0, 0) Day "圣周六")
|
||||
[ "神圣周六"
|
||||
, "聖週六"
|
||||
, "耶稣受难日翌日"
|
||||
, "主受難節翌日"
|
||||
, "復活節前夜"
|
||||
, "黑色星期六"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 11, 4, 0, 0, 0) Day "伊斯兰新年")
|
||||
[ "伊斯兰新年"
|
||||
, "伊斯兰教新年"
|
||||
, "伊斯兰历新年"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 6, 6, 0, 0, 0) Day "登霄节")
|
||||
[ "登霄节"
|
||||
, "夜行登霄節"
|
||||
]
|
||||
, examples (datetimeHoliday (2014, 1, 16, 0, 0, 0) Day "印度丰收节第四天")
|
||||
[ "印度丰收节第四天"
|
||||
, "龐格爾節第四天"
|
||||
, "庞格尔节第四天"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 4, 27, 0, 0, 0) Day "篝火节")
|
||||
[ "篝火节"
|
||||
, "犹太教篝火节"
|
||||
, "猶太教篝火節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 8, 4, 0, 0, 0) Day "法令之夜")
|
||||
[ "法令之夜"
|
||||
, "权力之夜"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 4, 27, 0, 0, 0) Day "拉撒路圣周六")
|
||||
[ "拉撒路聖週六"
|
||||
, "拉匝路周六"
|
||||
]
|
||||
, examples (datetimeHoliday (2014, 1, 15, 0, 0, 0) Day "印度丰收节第三天")
|
||||
[ "印度丰收节第三天"
|
||||
, "龐格爾節第三天"
|
||||
, "庞格尔节第三天"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 3, 28, 0, 0, 0) Day "神圣星期四")
|
||||
[ "濯足節"
|
||||
, "神聖星期四"
|
||||
, "圣周星期四"
|
||||
, "圣周四"
|
||||
, "設立聖餐日"
|
||||
]
|
||||
, examples (datetimeHoliday (2014, 1, 13, 0, 0, 0) Day "圣纪节")
|
||||
[ "圣纪节"
|
||||
, "聖紀節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 6, 0, 0, 0) Day "东正教复活节星期一")
|
||||
[ "东正教复活节星期一"
|
||||
, "東正教復活節星期一"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 4, 0, 0, 0) Day "东正教圣周六")
|
||||
[ "東正教神聖週六"
|
||||
, "東正教聖週六"
|
||||
, "東正教耶稣受难日翌日"
|
||||
, "東正教主受難節翌日"
|
||||
, "東正教复活节前夜"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 3, 0, 0, 0) Day "东正教耶稣受难日")
|
||||
[ "東正教耶穌受难日"
|
||||
, "东正教主受难节"
|
||||
, "东正教圣周五"
|
||||
, "東正教聖週五"
|
||||
, "東正教沈默週五"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 4, 28, 0, 0, 0) Day "东正教棕枝主日")
|
||||
[ "东正教棕枝主日"
|
||||
, "东正教圣枝主日"
|
||||
, "东正教聖樹主日"
|
||||
, "東正教基督苦難主日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 3, 24, 0, 0, 0) Day "棕枝主日")
|
||||
[ "棕枝主日"
|
||||
, "圣枝主日"
|
||||
, "聖樹主日"
|
||||
, "基督苦難主日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 19, 0, 0, 0) Day "五旬节")
|
||||
[ "五旬节"
|
||||
, "圣灵降临节"
|
||||
, "聖靈降臨日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 8, 20, 0, 0, 0) Day "印度兄妹节")
|
||||
[ "印度兄妹节"
|
||||
, "拉克沙班丹節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 9, 25, 0, 0, 0) Day "圣会节")
|
||||
[ "圣会节"
|
||||
, "聖会節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 2, 12, 0, 0, 0) Day "忏悔节")
|
||||
[ "忏悔節"
|
||||
, "忏悔火曜日"
|
||||
, "煎餅星期二"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 9, 26, 0, 0, 0) Day "西赫托拉节")
|
||||
[ "西赫托拉节"
|
||||
, "西赫妥拉节"
|
||||
, "诵经节"
|
||||
, "誦經节"
|
||||
, "转经节"
|
||||
, "轉經節"
|
||||
, "律法節"
|
||||
, "歡慶聖法節"
|
||||
]
|
||||
, examples (datetimeHoliday (2014, 1, 14, 0, 0, 0) Day "印度丰收节")
|
||||
[ "印度丰收节"
|
||||
, "淡米爾豐收節"
|
||||
, "淡米尔丰收节"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 8, 20, 0, 0, 0) Day "欧南节")
|
||||
[ "欧南节"
|
||||
, "欧南節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 7, 15, 0, 0, 0) Day "圣殿被毁日")
|
||||
[ "圣殿被毁日"
|
||||
, "禁食日"
|
||||
, "聖殿被毁日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 26, 0, 0, 0) Day "圣三一主日")
|
||||
[ "圣三一主日"
|
||||
, "天主三一主日"
|
||||
, "天主聖三一节"
|
||||
, "聖三主日"
|
||||
, "圣三节"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 10, 14, 0, 0, 0) Day "十胜节")
|
||||
[ "十勝節"
|
||||
, "凯旋节"
|
||||
, "圣母节"
|
||||
]
|
||||
, examples (datetimeHoliday (2014, 1, 15, 0, 0, 0) Day "犹太植树节")
|
||||
[ "犹太植树节"
|
||||
, "猶太植樹節"
|
||||
, "图比舍巴特节"
|
||||
, "圖比舍巴特節"
|
||||
, "树木新年"
|
||||
, "樹木新年"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 24, 0, 0, 0) Day "卫塞节")
|
||||
[ "卫塞节"
|
||||
, "衛塞節"
|
||||
, "威瑟节"
|
||||
, "比萨宝蕉节"
|
||||
, "比薩寶蕉節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 4, 15, 0, 0, 0) Day "以色列独立日")
|
||||
[ "以色列独立日"
|
||||
, "以色列獨立日"
|
||||
, "以色列国庆节"
|
||||
, "以色列國慶節"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 9, 13, 0, 0, 0) Day "赎罪日")
|
||||
[ "赎罪日"
|
||||
, "贖罪日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 5, 20, 0, 0, 0) Day "圣灵节庆日")
|
||||
[ "圣灵节庆日"
|
||||
, "聖靈節慶日"
|
||||
]
|
||||
, examples (datetimeHoliday (2013, 10, 16, 0, 0, 0) Day "老板节")
|
||||
[ "老板节"
|
||||
, "老闆節"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2013, 4, 26, 0, 0, 0), (2013, 4, 29, 0, 0, 0)) Day "全球青年服务日")
|
||||
[ "全球青年服务日"
|
||||
, "全球青年服務日"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 2, 19, 0, 0, 0), (2018, 3, 31, 0, 0, 0)) Day "四旬节")
|
||||
[ "2018年四旬节"
|
||||
, "2018年四旬節"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 12, 2, 0, 0, 0), (2018, 12, 10, 0, 0, 0)) Day "光明节")
|
||||
[ "2018年光明节"
|
||||
, "2018年修殿节"
|
||||
, "2018年献殿节"
|
||||
, "2018年獻殿节"
|
||||
, "2018年烛光节"
|
||||
, "2018年哈努卡节"
|
||||
, "2018年馬加比節"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 2, 14, 0, 0, 0), (2018, 4, 1, 0, 0, 0)) Day "大斋期")
|
||||
[ "2018年大斋期"
|
||||
, "2018年大齋節"
|
||||
, "2018年大斋节"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 10, 9, 0, 0, 0), (2018, 10, 19, 0, 0, 0)) Day "九夜节")
|
||||
[ "2018年九夜节"
|
||||
, "2018年难近母节"
|
||||
, "2018年難近母節"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 3, 30, 0, 0, 0), (2018, 4, 8, 0, 0, 0)) Day "逾越节")
|
||||
[ "2018年逾越节"
|
||||
, "2018年逾越節"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2034, 11, 12, 0, 0, 0), (2034, 12, 12, 0, 0, 0)) Day "斋月")
|
||||
[ "2034年斋月"
|
||||
, "2034年穆斯林斋月"
|
||||
, "2034年穆斯林齋月"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 9, 9, 0, 0, 0), (2018, 9, 12, 0, 0, 0)) Day "犹太新年")
|
||||
[ "2018年犹太新年"
|
||||
, "2018年猶太新年"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 5, 19, 0, 0, 0), (2018, 5, 22, 0, 0, 0)) Day "七七节")
|
||||
[ "2018年七七节"
|
||||
, "2018年沙夫幼特节"
|
||||
, "2018年週日節"
|
||||
, "2018年收获节"
|
||||
, "2018年新果实节"
|
||||
, "2018年新果實節"
|
||||
, "2018年收穫節"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2018, 9, 23, 0, 0, 0), (2018, 10, 2, 0, 0, 0)) Day "住棚节")
|
||||
[ "2018年住棚节"
|
||||
, "2018年住棚節"
|
||||
]
|
||||
, examples (datetimeIntervalHoliday ((2016, 3, 19, 20, 30, 0), (2016, 3, 19, 21, 31, 0)) Minute "地球一小时")
|
||||
[ "2016年地球一小时"
|
||||
, "2016年地球一小時"
|
||||
]
|
||||
]
|
||||
|
||||
@ -20,6 +20,7 @@ import qualified Data.Text as Text
|
||||
import Duckling.Dimensions.Types
|
||||
import Duckling.Numeral.Helpers (parseInt)
|
||||
import Duckling.Regex.Types
|
||||
import Duckling.Time.Computed
|
||||
import Duckling.Time.Helpers
|
||||
import Duckling.Time.Types (TimeData (..))
|
||||
import Duckling.Types
|
||||
@ -953,6 +954,155 @@ rulePeriodicHolidays = mkRuleHolidays
|
||||
, ( "母亲节", "母(亲节|親節)", nthDOWOfMonth 2 7 5 )
|
||||
]
|
||||
|
||||
|
||||
ruleComputedHolidays :: [Rule]
|
||||
ruleComputedHolidays = mkRuleHolidays
|
||||
[ ( "耶稣升天节", "耶(稣|穌)升天(节|節|日)"
|
||||
, cycleNthAfter False TG.Day 39 easterSunday )
|
||||
, ( "大斋首日", "大(斋|齋)首日|(圣|聖)灰((礼仪|禮儀)?日|星期三)|灰日"
|
||||
, cycleNthAfter False TG.Day (-46) easterSunday )
|
||||
, ( "阿舒拉节", "阿舒拉(节|節)"
|
||||
, cycleNthAfter False TG.Day 9 muharram )
|
||||
, ( "克哈特普迦节", "克哈特普迦(节|節)"
|
||||
, cycleNthAfter False TG.Day 8 dhanteras )
|
||||
, ( "春节", "春(节|節)|(农历|農曆|唐人)新年|新(正|春)|正月(正(时|時)|朔日)|岁首"
|
||||
, chineseNewYear )
|
||||
, ( "基督圣体节", "基督(圣体|聖體)((圣|聖)血)?((节|節)|瞻(礼|禮))"
|
||||
, cycleNthAfter False TG.Day 60 easterSunday )
|
||||
, ( "排灯节", "(排|万|萬|印度)(灯节|燈節)"
|
||||
, cycleNthAfter False TG.Day 2 dhanteras )
|
||||
, ( "复活节星期一", "(复|復)活(节|節)星期一"
|
||||
, cycleNthAfter False TG.Day 1 easterSunday )
|
||||
, ( "复活节", "(复|復)活(节|節)|主(复|復)活日", easterSunday )
|
||||
, ( "古尔邦节", "古(尔|爾)邦(节|節)|宰牲(节|節)"
|
||||
, eidalAdha )
|
||||
, ( "开斋节", "(开斋|開齋|肉孜|(尔|爾)代)(节|節)", eidalFitr )
|
||||
, ( "耶稣受难日", "(耶(稣|穌)|主)受(难|難)(节|節|日)|(圣|聖|沈默)(周|週)五"
|
||||
, cycleNthAfter False TG.Day (-2) easterSunday )
|
||||
, ( "侯丽节", "((侯|荷)(丽|麗)|洒红|灑紅|欢悦|歡悅|五彩|胡里|好利|霍利)(节|節)"
|
||||
, cycleNthAfter False TG.Day 39 vasantPanchami )
|
||||
, ( "圣周六"
|
||||
, "神?(圣周|聖週)六|(耶(稣|穌)|主)受(难|難)(节|節|日)翌日|(复|復)活(节|節)前夜|黑色星期六"
|
||||
, cycleNthAfter False TG.Day (-1) easterSunday )
|
||||
, ( "伊斯兰新年", "伊斯兰(教)?(历)?新年"
|
||||
, muharram )
|
||||
, ( "登霄节"
|
||||
, "(夜行)?登霄(节|節)"
|
||||
, cycleNthAfter False TG.Day 26 rajab
|
||||
)
|
||||
, ( "印度丰收节第四天", "(印度(丰|豐)收|(庞|龐)格(尔|爾))(节|節)第四天"
|
||||
, cycleNthAfter False TG.Day 2 thaiPongal )
|
||||
, ( "篝火节", "((犹|猶)太教)?篝火(节|節)", lagBaOmer )
|
||||
, ( "法令之夜"
|
||||
, "(法令|命运|权力)之夜"
|
||||
, cycleNthAfter False TG.Day 26 ramadan )
|
||||
, ( "拉撒路圣周六", "拉撒路(圣周|聖週)六|拉匝路(周|週)六"
|
||||
, cycleNthAfter False TG.Day (-8) orthodoxEaster )
|
||||
, ( "印度丰收节第三天", "(印度(丰|豐)收|(庞|龐)格(尔|爾))(节|節)第三天"
|
||||
, cycleNthAfter False TG.Day 1 thaiPongal )
|
||||
, ( "神圣星期四"
|
||||
, "濯足(节|節)|神(圣|聖)星期四|(圣周|聖週)(星期)?四|(设|設)立(圣|聖)餐日"
|
||||
, cycleNthAfter False TG.Day (-3) easterSunday )
|
||||
, ( "圣纪节" , "圣纪节|聖紀節", mawlid )
|
||||
, ( "东正教复活节星期一", "(东|東)正教(复|復)活(节|節)星期一"
|
||||
, cycleNthAfter False TG.Day 1 orthodoxEaster )
|
||||
, ( "东正教复活节", "(东|東)正教((复|復)活(节|節)|主(复|復)活日)"
|
||||
, orthodoxEaster )
|
||||
, ( "东正教圣周六"
|
||||
, "(东|東)正教(神?(圣周|聖週)六|(耶(稣|穌)|主)受(难|難)(节|節|日)翌日|(复|復)活(节|節)前夜)"
|
||||
, cycleNthAfter False TG.Day (-1) orthodoxEaster )
|
||||
, ( "东正教耶稣受难日", "(东|東)正教((耶(稣|穌)|主)受(难|難)(节|節|日)|(圣|聖|沈默)(周|週)五)"
|
||||
, cycleNthAfter False TG.Day (-2) orthodoxEaster )
|
||||
, ( "东正教棕枝主日", "(东|東)正教((棕|圣|聖)枝|圣树|聖樹|基督苦(难|難))主日"
|
||||
, cycleNthAfter False TG.Day (-7) orthodoxEaster )
|
||||
, ( "棕枝主日", "((棕|圣|聖)枝|圣树|聖樹|基督苦(难|難))主日"
|
||||
, cycleNthAfter False TG.Day (-7) easterSunday )
|
||||
, ( "五旬节", "五旬(节|節)|(圣灵|聖靈)降(临|臨)(日|节|節)"
|
||||
, cycleNthAfter False TG.Day 49 easterSunday )
|
||||
, ( "印度兄妹节", "(印度兄妹|拉克沙班丹)(节|節)", rakshaBandhan )
|
||||
, ( "圣会节", "(圣|聖)会(节|節)"
|
||||
, cycleNthAfter False TG.Day 21 roshHashana )
|
||||
, ( "忏悔节", "忏悔(节|節|火曜日)|煎(饼|餅)星期二"
|
||||
, cycleNthAfter False TG.Day (-47) easterSunday )
|
||||
, ( "西赫托拉节", "(西赫(托拉|妥拉)|诵经|誦經|转经|轉經|律法|(欢庆圣|歡慶聖)法)(节|節)"
|
||||
, cycleNthAfter False TG.Day 22 roshHashana )
|
||||
, ( "印度丰收节", "(印度|淡米(尔|爾))(丰|豐)收(节|節)", thaiPongal )
|
||||
, ( "欧南节", "欧南(节|節)", thiruOnam )
|
||||
, ( "圣殿被毁日", "((圣|聖)殿被毁|禁食)日", tishaBAv )
|
||||
, ( "圣三一主日", "((天主)?(圣|聖)?三一|(圣|聖)三)(主日|节|節)"
|
||||
, cycleNthAfter False TG.Day 56 easterSunday )
|
||||
, ( "十胜节", "(十(胜|勝)|(凯|凱)旋|(圣|聖)母)(节|節)"
|
||||
, cycleNthAfter False TG.Day 9 navaratri )
|
||||
-- 15th day of Shevat
|
||||
, ( "犹太植树节", "((犹|猶)太植(树|樹)|(图|圖)比舍巴特)(节|節)|(树|樹)木新年", tuBishvat )
|
||||
-- day of the full moon in May in the Gregorian calendar
|
||||
, ( "卫塞节", "((卫|衛)塞|威瑟|比(萨宝|薩寶)蕉)(节|節)", vesak )
|
||||
, ( "以色列独立日", "以色列((独|獨)立日|国庆节|國慶節)", yomHaatzmaut )
|
||||
, ( "赎罪日", "(赎|贖)罪日", cycleNthAfter False TG.Day 9 roshHashana )
|
||||
, ( "圣灵节庆日", "(圣灵节庆|聖靈節慶)日"
|
||||
, cycleNthAfter False TG.Day 50 easterSunday )
|
||||
|
||||
-- Other
|
||||
, ( "老板节", "老(板节|闆節)"
|
||||
, predNthClosest 0 weekday (monthDay 10 16) )
|
||||
]
|
||||
|
||||
ruleComputedHolidays' :: [Rule]
|
||||
ruleComputedHolidays' = mkRuleHolidays'
|
||||
[ ( "全球青年服务日", "全球青年服(务|務)日"
|
||||
, let start = globalYouthServiceDay
|
||||
end = cycleNthAfter False TG.Day 2 globalYouthServiceDay
|
||||
in interval TTime.Open start end )
|
||||
, ( "四旬节", "四旬(节|節)"
|
||||
, let start = cycleNthAfter False TG.Day (-48) orthodoxEaster
|
||||
end = cycleNthAfter False TG.Day (-9) orthodoxEaster
|
||||
in interval TTime.Open start end )
|
||||
, ( "光明节", "(光明|修殿|(献|獻)殿|(烛|燭)光|哈努卡|(马|馬)加比)(节|節)"
|
||||
, let start = chanukah
|
||||
end = cycleNthAfter False TG.Day 7 chanukah
|
||||
in interval TTime.Open start end )
|
||||
, ( "大斋期", "大(斋|齋)(期|节|節)"
|
||||
, let start = cycleNthAfter False TG.Day (-46) easterSunday
|
||||
end = cycleNthAfter False TG.Day (-1) easterSunday
|
||||
in interval TTime.Open start end )
|
||||
, ( "九夜节", "(九夜|(难|難)近母)(节|節)"
|
||||
, let start = navaratri
|
||||
end = cycleNthAfter False TG.Day 9 navaratri
|
||||
in interval TTime.Open start end )
|
||||
, ( "逾越节", "逾越(节|節)"
|
||||
, let start = passover
|
||||
end = cycleNthAfter False TG.Day 8 passover
|
||||
in interval TTime.Open start end )
|
||||
, ( "斋月", "(穆斯林)?(斋|齋)月"
|
||||
, let start = ramadan
|
||||
end = cycleNthAfter False TG.Day (-1) eidalFitr
|
||||
in interval TTime.Open start end )
|
||||
, ( "犹太新年", "(犹|猶)太新年"
|
||||
, let start = roshHashana
|
||||
end = cycleNthAfter False TG.Day 2 roshHashana
|
||||
in interval TTime.Open start end )
|
||||
, ( "七七节", "(七七|沙夫幼特|(周|週)日|收(获|穫)|新果(实|實))(节|節)"
|
||||
, let start = cycleNthAfter False TG.Day 50 passover
|
||||
end = cycleNthAfter False TG.Day 52 passover
|
||||
in interval TTime.Open start end )
|
||||
, ( "住棚节", "住棚(节|節)"
|
||||
, let start = cycleNthAfter False TG.Day 14 roshHashana
|
||||
end = cycleNthAfter False TG.Day 22 roshHashana
|
||||
in interval TTime.Open start end )
|
||||
|
||||
-- Other
|
||||
-- Last Saturday of March unless it falls on Holy Saturday
|
||||
-- In which case it's the Saturday before
|
||||
, ( "地球一小时", "地球一小(时|時)"
|
||||
, let holySaturday = cycleNthAfter False TG.Day (-1) easterSunday
|
||||
tentative = predLastOf (dayOfWeek 6) (month 3)
|
||||
alternative = cycleNthAfter False TG.Day (-7) tentative
|
||||
in do
|
||||
day <- intersectWithReplacement holySaturday tentative alternative
|
||||
start <- intersect day $ hourMinute True 20 30
|
||||
interval TTime.Closed start $ cycleNthAfter False TG.Minute 60 start )
|
||||
]
|
||||
|
||||
rules :: [Rule]
|
||||
rules =
|
||||
[ ruleAbsorptionOfAfterNamedDay
|
||||
@ -1024,4 +1174,6 @@ rules =
|
||||
]
|
||||
++ ruleDaysOfWeek
|
||||
++ ruleMonths
|
||||
++ ruleComputedHolidays
|
||||
++ ruleComputedHolidays'
|
||||
++ rulePeriodicHolidays
|
||||
|
||||
Loading…
Reference in New Issue
Block a user