duckling/Duckling/Ranking/Classifiers/ZH_TW.hs

-- Copyright (c) 2016-present, Facebook, Inc.
-- All rights reserved.
--
-- This source code is licensed under the BSD-style license found in the
-- LICENSE file in the root directory of this source tree. An additional grant
-- of patent rights can be found in the PATENTS file in the same directory.

-----------------------------------------------------------------
-- Auto-generated by regenClassifiers
--
-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
--  @generated
-----------------------------------------------------------------
{-# LANGUAGE OverloadedStrings #-}
module Duckling.Ranking.Classifiers.ZH_TW (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types

classifiers :: Classifiers
classifiers
  = HashMap.fromList
      [("<time> timezone",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day> am|pm", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Thursday",
        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 = -0.48550781578170077,
                               unseen = -3.912023005428146,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 48},
                   koData =
                     ClassData{prior = -0.9555114450274363,
                               unseen = -3.4657359027997265,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
       ("the day before yesterday",
        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}}),
       ("\22269\38469\28040\36153\32773\26435\30410\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}}),
       ("\24314\20891\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}}),
       ("today",
        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}}),
       ("mm/dd",
        Classifier{okData =
                     ClassData{prior = -1.6094379124341003,
                               unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
       ("absorption of , after named day",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.6931471805599453), ("Sunday", -0.6931471805599453)],
                               n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("tonight",
        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}}),
       ("month (grain)",
        Classifier{okData =
                     ClassData{prior = -1.0541605260972757,
                               unseen = -3.2188758248682006,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 23},
                   koData =
                     ClassData{prior = -0.42845462633286313,
                               unseen = -3.8066624897703196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 43}}),
       ("<time-of-day> o'clock",
        Classifier{okData =
                     ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 9},
                   koData =
                     ClassData{prior = -1.0296194171811581,
                               unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 5}}),
       ("national day",
        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}}),
       ("number suffix: \21313",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.258096538021482,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Wednesday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("hour (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20803\26086",
        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}}),
       ("intersect",
        Classifier{okData =
                     ClassData{prior = -0.6061358035703156, unseen = -4.61512051684126,
                               likelihoods =
                                 HashMap.fromList
                                   [("\20799\31461\33410<part-of-day> <dim time>",
                                     -2.995732273553991),
                                    ("year (numeric with year symbol)<named-month> <day-of-month>",
                                     -1.7719568419318752),
                                    ("dayday", -1.8971199848858813),
                                    ("hourhour", -2.995732273553991),
                                    ("hourminute", -2.995732273553991),
                                    ("absorption of , after named day<named-month> <day-of-month>",
                                     -1.8971199848858813),
                                    ("dayminute", -2.995732273553991),
                                    ("tonight<time-of-day> o'clock", -2.995732273553991),
                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
                                     -2.995732273553991),
                                    ("yearday", -1.7719568419318752)],
                               n = 42},
                   koData =
                     ClassData{prior = -0.7884573603642702, unseen = -4.465908118654584,
                               likelihoods =
                                 HashMap.fromList
                                   [("\20799\31461\33410<part-of-day> <dim time>",
                                     -2.257122718917288),
                                    ("dayhour", -2.8449093838194073),
                                    ("daymonth", -2.374905754573672),
                                    ("<dim time> <part-of-day><time-of-day> o'clock",
                                     -3.355735007585398),
                                    ("year (numeric with year symbol)month (numeric with month symbol)",
                                     -1.7462970951512977),
                                    ("hourhour", -3.355735007585398),
                                    ("hourminute", -2.8449093838194073),
                                    ("absorption of , after named daymonth (numeric with month symbol)",
                                     -2.374905754573672),
                                    ("yearmonth", -1.7462970951512977),
                                    ("dayminute", -2.8449093838194073),
                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
                                     -2.8449093838194073)],
                               n = 35}}),
       ("year (grain)",
        Classifier{okData =
                     ClassData{prior = -0.8209805520698302,
                               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}}),
       ("Saturday",
        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}}),
       ("next <cycle>",
        Classifier{okData =
                     ClassData{prior = -0.7472144018302211,
                               unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.3862943611198906),
                                    ("month (grain)", -1.791759469228055),
                                    ("year (grain)", -2.4849066497880004),
                                    ("week (grain)", -1.3862943611198906),
                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
                               n = 9},
                   koData =
                     ClassData{prior = -0.6418538861723948, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.8602012652231115),
                                    ("week (grain)", -0.8602012652231115)],
                               n = 10}}),
       ("last year",
        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 <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.970291913552122,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -1.8718021769015913),
                                    ("Monday", -1.8718021769015913), ("day", -0.7323678937132265),
                                    ("Tuesday", -1.5533484457830569)],
                               n = 24},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("yyyy-mm-dd",
        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}}),
       ("mm/dd/yyyy",
        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}}),
       ("evening|night",
        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}}),
       ("Monday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.258096538021482,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("yesterday",
        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 year",
        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}}),
       ("hh:mm (time-of-day)",
        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> (latent time-of-day)",
        Classifier{okData =
                     ClassData{prior = -1.4170660197866443, unseen = -2.995732273553991,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -1.3350010667323402),
                                    ("integer (0..10)", -0.3794896217049037)],
                               n = 16},
                   koData =
                     ClassData{prior = -0.2776317365982795,
                               unseen = -3.9889840465642745,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -2.3608540011180215),
                                    ("integer (0..10)", -0.28141245943818544),
                                    ("<number>\20010/\20491", -1.890850371872286)],
                               n = 50}}),
       ("nth <time> of <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthday", -0.6931471805599453),
                                    ("month (numeric with month symbol)ordinal (digits)Monday",
                                     -0.6931471805599453)],
                               n = 8},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("month (numeric with month symbol)",
        Classifier{okData =
                     ClassData{prior = -0.3087354816496133, unseen = -3.951243718581427,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -1.0986122886681098),
                                    ("number suffix: \21313", -2.322387720290225),
                                    ("integer (0..10)", -0.5996211225491218)],
                               n = 47},
                   koData =
                     ClassData{prior = -1.3256697393034558,
                               unseen = -3.0910424533583156,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (0..10)", -1.9459101490553135),
                                    ("<number>\20010/\20491", -0.2719337154836418)],
                               n = 17}}),
       ("week (grain)",
        Classifier{okData =
                     ClassData{prior = -0.8434293836092833,
                               unseen = -3.6635616461296463,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 37},
                   koData =
                     ClassData{prior = -0.5625269981428811,
                               unseen = -3.9318256327243257,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
       ("year (numeric with year symbol)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.772588722239781,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 14},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("now",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\24858\20154\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}}),
       ("numbers prefix with -, negative or minus",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 4}}),
       ("Friday",
        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}}),
       ("tomorrow",
        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 year",
        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}}),
       ("\28595\38376\22238\24402\32426\24565\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}}),
       ("next <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -1.3437347467010947),
                                    ("day", -0.7375989431307791), ("Tuesday", -1.3437347467010947)],
                               n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("fractional number",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
       ("Sunday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("afternoon",
        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}}),
       ("<duration> from now",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.891820298110627,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
                                    ("minute", -2.772588722239781)],
                               n = 20}}),
       ("this <cycle>",
        Classifier{okData =
                     ClassData{prior = -1.0185695809945732,
                               unseen = -3.4339872044851463,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.916290731874155),
                                    ("year (grain)", -2.3025850929940455),
                                    ("week (grain)", -0.916290731874155),
                                    ("year", -2.3025850929940455)],
                               n = 13},
                   koData =
                     ClassData{prior = -0.4480247225269604,
                               unseen = -3.9318256327243257,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.7339691750802004),
                                    ("week (grain)", -0.7339691750802004)],
                               n = 23}}),
       ("minute (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.890371757896165,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<dim time> <part-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.07753744390572,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayhour", -0.7646061445420903),
                                    ("national dayevening|night", -2.9618307218783095),
                                    ("<named-month> <day-of-month>morning", -1.4954936530848826),
                                    ("\24773\20154\33410evening|night", -2.9618307218783095),
                                    ("\20799\31461\33410afternoon", -2.9618307218783095),
                                    ("Mondaymorning", -1.8632184332102)],
                               n = 26},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<part-of-day> <dim time>",
        Classifier{okData =
                     ClassData{prior = -0.6097655716208943, unseen = -4.07753744390572,
                               likelihoods =
                                 HashMap.fromList
                                   [("tonight<integer> (latent time-of-day)", -2.451005098112319),
                                    ("hourhour", -1.3523928094442093),
                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
                                     -1.6625477377480489),
                                    ("afternoon<time-of-day> o'clock", -2.6741486494265287),
                                    ("hourminute", -1.575536360758419),
                                    ("afternoon<integer> (latent time-of-day)",
                                     -2.6741486494265287),
                                    ("afternoonhh:mm (time-of-day)", -3.367295829986474),
                                    ("tonight<time-of-day> o'clock", -2.451005098112319)],
                               n = 25},
                   koData =
                     ClassData{prior = -0.7841189587656721,
                               unseen = -3.9318256327243257,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourhour", -1.4271163556401458),
                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
                                     -1.5141277326297755),
                                    ("afternoon<time-of-day> o'clock", -2.120263536200091),
                                    ("hourminute", -1.5141277326297755),
                                    ("afternoon<integer> (latent time-of-day)",
                                     -1.9661128563728327)],
                               n = 21}}),
       ("<integer> <unit-of-duration>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -3.044522437723423,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -5.921578419643816,
                               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}}),
       ("<time-of-day> am|pm",
        Classifier{okData =
                     ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mm (time-of-day)", -1.252762968495368),
                                    ("<integer> (latent time-of-day)", -1.540445040947149),
                                    ("hour", -1.540445040947149), ("minute", -1.252762968495368)],
                               n = 5},
                   koData =
                     ClassData{prior = -0.9808292530117262,
                               unseen = -2.3978952727983707,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.916290731874155),
                                    ("hour", -0.916290731874155)],
                               n = 3}}),
       ("number suffix: \19975",
        Classifier{okData =
                     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}}),
       ("relative minutes after|past <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)integer with consecutive unit modifiers",
                                     -0.7801585575495751),
                                    ("hour", -0.7801585575495751)],
                               n = 10},
                   koData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)number suffix: \21313",
                                     -1.3862943611198906),
                                    ("<integer> (latent time-of-day)integer (0..10)",
                                     -1.3862943611198906),
                                    ("hour", -0.7801585575495751)],
                               n = 10}}),
       ("intersect by \",\"",
        Classifier{okData =
                     ClassData{prior = -0.40546510810816444,
                               unseen = -3.4965075614664802,
                               likelihoods =
                                 HashMap.fromList
                                   [("Sunday<named-month> <day-of-month>", -0.7576857016975165),
                                    ("dayday", -0.7576857016975165)],
                               n = 14},
                   koData =
                     ClassData{prior = -1.0986122886681098,
                               unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -0.8109302162163288),
                                    ("Sundaymonth (numeric with month symbol)",
                                     -0.8109302162163288)],
                               n = 7}}),
       ("integer with consecutive unit modifiers",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.367295829986474,
                               likelihoods =
                                 HashMap.fromList
                                   [("number suffix: \21313integer (0..10)", -0.6931471805599453),
                                    ("integer (0..10)integer (0..10)", -0.6931471805599453)],
                               n = 26},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("second (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<duration> ago",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.891820298110627,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
                                    ("minute", -2.772588722239781)],
                               n = 20}}),
       ("\22307\35806\33410",
        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}}),
       ("last <time>",
        Classifier{okData =
                     ClassData{prior = -1.2286654169163076,
                               unseen = -3.4657359027997265,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.8690378470236094), ("Sunday", -1.3545456628053103),
                                    ("Tuesday", -1.6422277352570913)],
                               n = 12},
                   koData =
                     ClassData{prior = -0.3462762367178338, unseen = -4.189654742026425,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.916290731874155),
                                    ("month (numeric with month symbol)", -2.5649493574615367),
                                    ("hour", -0.916290731874155), ("month", -2.5649493574615367)],
                               n = 29}}),
       ("the day after tomorrow",
        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}}),
       ("\22919\22899\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 <time>",
        Classifier{okData =
                     ClassData{prior = -1.6486586255873816, unseen = -2.890371757896165,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -1.041453874828161), ("Tuesday", -1.041453874828161)],
                               n = 5},
                   koData =
                     ClassData{prior = -0.21357410029805904,
                               unseen = -3.912023005428146,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -2.1000608288825715),
                                    ("<integer> (latent time-of-day)", -1.1192315758708455),
                                    ("month (numeric with month symbol)", -3.1986731175506815),
                                    ("day", -2.1000608288825715), ("hour", -1.1192315758708455),
                                    ("month", -3.1986731175506815)],
                               n = 21}}),
       ("last <cycle>",
        Classifier{okData =
                     ClassData{prior = -0.8472978603872037,
                               unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.3862943611198906),
                                    ("month (grain)", -1.791759469228055),
                                    ("year (grain)", -2.4849066497880004),
                                    ("week (grain)", -1.3862943611198906),
                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
                               n = 9},
                   koData =
                     ClassData{prior = -0.5596157879354228,
                               unseen = -3.4339872044851463,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.8362480242006186),
                                    ("week (grain)", -0.8362480242006186)],
                               n = 12}}),
       ("next n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.61512051684126,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.4079456086518722),
                                    ("integer (0..10)hour (grain)", -2.659260036932778),
                                    ("<number>\20010/\20491week (grain)", -2.995732273553991),
                                    ("second", -2.8134107167600364),
                                    ("integer (0..10)day (grain)", -2.5257286443082556),
                                    ("integer (0..10)year (grain)", -3.2188758248682006),
                                    ("<number>\20010/\20491month (grain)", -2.8134107167600364),
                                    ("integer (0..10)second (grain)", -2.8134107167600364),
                                    ("day", -2.5257286443082556), ("year", -3.2188758248682006),
                                    ("integer (0..10)minute (grain)", -2.659260036932778),
                                    ("hour", -2.4079456086518722),
                                    ("integer (0..10)week (grain)", -2.995732273553991),
                                    ("month", -2.8134107167600364),
                                    ("<number>\20010/\20491hour (grain)", -3.506557897319982),
                                    ("minute", -2.659260036932778)],
                               n = 42},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.833213344056216,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\19975\22307\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}}),
       ("\20799\31461\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}}),
       ("Tuesday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.295836866004329,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 25},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<named-month> <day-of-month>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.68213122712422,
                               likelihoods =
                                 HashMap.fromList
                                   [("month (numeric with month symbol)integer with consecutive unit modifiers",
                                     -1.83961549040569),
                                    ("month (numeric with month symbol)integer (numeric)",
                                     -1.9647786333596962),
                                    ("month (numeric with month symbol)number suffix: \21313",
                                     -2.5933872927820705),
                                    ("month", -0.7215851158804788),
                                    ("month (numeric with month symbol)integer (0..10)",
                                     -1.9647786333596962)],
                               n = 51},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\21171\21160\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}}),
       ("integer (0..10)",
        Classifier{okData =
                     ClassData{prior = -0.4072460524791592, unseen = -5.241747015059643,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 187},
                   koData =
                     ClassData{prior = -1.095059887063742, unseen = -4.564348191467836,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 94}}),
       ("last n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.605170185988091,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.9856819377004897),
                                    ("integer (0..10)month (grain)", -3.4965075614664802),
                                    ("integer (0..10)hour (grain)", -2.3978952727983707),
                                    ("second", -2.649209701079277),
                                    ("integer (0..10)day (grain)", -2.9856819377004897),
                                    ("integer (0..10)year (grain)", -3.4965075614664802),
                                    ("<number>\20010/\20491month (grain)", -2.3978952727983707),
                                    ("integer (0..10)second (grain)", -2.649209701079277),
                                    ("day", -2.9856819377004897), ("year", -3.4965075614664802),
                                    ("integer (0..10)minute (grain)", -2.3978952727983707),
                                    ("hour", -2.3978952727983707),
                                    ("integer (0..10)week (grain)", -2.9856819377004897),
                                    ("month", -2.1972245773362196),
                                    ("minute", -2.3978952727983707)],
                               n = 42},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.772588722239781,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("ordinal (digits)",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList [("<number>\20010/\20491", -0.1823215567939546)],
                               n = 4},
                   koData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList [("integer (0..10)", -0.1823215567939546)],
                               n = 4}}),
       ("n <cycle> last",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.04305126783455,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.4159137783010487),
                                    ("integer (0..10)hour (grain)", -2.9267394020670396),
                                    ("<number>\20010/\20491week (grain)", -2.9267394020670396),
                                    ("second", -2.9267394020670396),
                                    ("integer (0..10)day (grain)", -2.4159137783010487),
                                    ("integer (0..10)year (grain)", -2.9267394020670396),
                                    ("<number>\20010/\20491month (grain)", -2.9267394020670396),
                                    ("integer (0..10)second (grain)", -2.9267394020670396),
                                    ("day", -2.4159137783010487), ("year", -2.9267394020670396),
                                    ("integer (0..10)minute (grain)", -2.9267394020670396),
                                    ("hour", -2.4159137783010487),
                                    ("integer (0..10)week (grain)", -2.9267394020670396),
                                    ("month", -2.9267394020670396),
                                    ("<number>\20010/\20491hour (grain)", -2.9267394020670396),
                                    ("minute", -2.9267394020670396)],
                               n = 20},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.833213344056216,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("morning",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.890371757896165,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("week-end",
        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,
                               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}}),
       ("<number>\20010/\20491",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.4339872044851463,
                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 29},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\24773\20154\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}}),
       ("this <time>",
        Classifier{okData =
                     ClassData{prior = -0.2076393647782445, unseen = -4.0943445622221,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -1.9980959022258835),
                                    ("Monday", -1.9980959022258835), ("day", -0.8586616190375187),
                                    ("hour", -2.9789251552376097), ("Tuesday", -1.6796421711073488),
                                    ("week-end", -2.9789251552376097)],
                               n = 26},
                   koData =
                     ClassData{prior = -1.6739764335716716, unseen = -2.995732273553991,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.9985288301111273),
                                    ("hour", -0.9985288301111273)],
                               n = 6}})]