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Numeral/ES: Add support for additive concatenations
Summary: This commit extend Spanish-language support for concatenations of the form "<higher-order-of-magnitude> <lower>", e.g. "doscientos tres" (203) or "cuatro mil ventiuno" (4022) to work not just for hundreds but also for thousands and millions. Reviewed By: chessai Differential Revision: D27858133 fbshipit-source-id: 5c6b227ae7dad9009cd636e7ea49c209480c931a
This commit is contained in:
Steven Troxler
Facebook GitHub Bot
parent
888da76215
commit
c44c73fe04
@ -12,7 +12,7 @@
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* ES (Spanish)
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* Numeral: Fix parsing for hundreds phrases like `doscientos tres`
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* Numeral: Add basic support for thousands and millions
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* Numeral: Add support for thousands and millions
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* RU (Russian)
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* Duration: Diminutives for minutes and hours
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@ -67,4 +67,5 @@ allExamples =
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, examples (NumeralValue 203) ["dos cientos tres", "doscientos tres"]
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, examples (NumeralValue 203_000) ["doscientos tres mil", "203 mil"]
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, examples (NumeralValue 4_000_000) ["cuatro millones", "4 millones"]
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, examples (NumeralValue 4_002_003) ["cuatro millones dos mil tres", "4 millones 2 mil 3"]
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]
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@ -238,8 +238,8 @@ ruleNumeralHundredsAndSmaller = Rule
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, numberBetween 0 100
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]
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, prod = \tokens -> case tokens of
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(Token Numeral NumeralData { TNumeral.value = v1 } : Token Numeral NumeralData { TNumeral.value = v2 } : _) ->
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double $ v1 + v2
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(Token Numeral NumeralData { TNumeral.value = v1 } : Token Numeral NumeralData { TNumeral.value = v2 } : _)
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| v1 > 0 && v1 < 1000 -> double $ v1 + v2
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_ -> Nothing
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}
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@ -256,6 +256,32 @@ ruleNumeralMultiply = Rule
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_ -> Nothing
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}
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ruleNumeralThousandsAnd :: Rule
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ruleNumeralThousandsAnd = Rule
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{ name = "<thousands> 0..999"
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, pattern =
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[ numberWith TNumeral.value (TNumeral.isMultiple 1000)
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, numberBetween 0 999
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]
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, prod = \tokens -> case tokens of
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(Token Numeral NumeralData { TNumeral.value = v1 } : Token Numeral NumeralData { TNumeral.value = v2 } : _)
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| 0 < v1 && v1 < 1000000 -> double $ v1 + v2
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_ -> Nothing
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}
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ruleNumeralMillionsAnd :: Rule
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ruleNumeralMillionsAnd = Rule
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{ name = "<millions> 0..999999"
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, pattern =
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[ numberWith TNumeral.value (TNumeral.isMultiple 1000000)
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, numberBetween 0 999999
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]
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, prod = \tokens -> case tokens of
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(Token Numeral NumeralData { TNumeral.value = v1 } : Token Numeral NumeralData { TNumeral.value = v2 } : _)
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| 0 < v1 -> double $ v1 + v2
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_ -> Nothing
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}
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ruleNumeralDotNumeral :: Rule
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ruleNumeralDotNumeral = Rule
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{ name = "number dot number"
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@ -302,6 +328,8 @@ rules =
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, ruleBigNumeral
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, ruleBigNumeralMultipliable
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, ruleNumeralMultiply
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, ruleNumeralThousandsAnd
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, ruleNumeralMillionsAnd
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, ruleTwoPartHundreds
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, ruleNumeralHundredsAndSmaller
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, ruleNumeralDotNumeral
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@ -48,11 +48,11 @@ classifiers
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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 = -0.5465437063680699, unseen = -4.219507705176107,
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likelihoods = HashMap.fromList [("", 0.0)], n = 66},
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ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
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likelihoods = HashMap.fromList [("", 0.0)], n = 63},
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koData =
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ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
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likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
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ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
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likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
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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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@ -97,63 +97,64 @@ classifiers
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likelihoods = HashMap.fromList [], n = 0}}),
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("intersect by `de`",
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Classifier{okData =
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ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
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ClassData{prior = -0.19290366612449156,
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unseen = -4.890349128221754,
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likelihoods =
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HashMap.fromList
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[("Miercoleseste|en un <cycle>", -4.174387269895637),
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[("Miercoleseste|en un <cycle>", -4.189654742026425),
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("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
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-4.174387269895637),
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-4.189654742026425),
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("el <day-of-month> (non ordinal)intersect by `de`",
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-3.7689221617874726),
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("daymonth", -1.8230120127321594),
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("monthyear", -3.7689221617874726),
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("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
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("Marteseste|en un <cycle>", -4.174387269895637),
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("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
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("el <time>Marzo", -3.7689221617874726),
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-3.784189633918261),
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("daymonth", -1.8382794848629478),
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("monthyear", -3.784189633918261),
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("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
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("Marteseste|en un <cycle>", -4.189654742026425),
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("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
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("el <time>Marzo", -3.784189633918261),
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("el <day-of-month> (non ordinal)Septiembre",
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-4.174387269895637),
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("Miercolesel proximo <cycle> ", -4.174387269895637),
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("Luneseste|en un <cycle>", -4.174387269895637),
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("dayyear", -2.159484249353372),
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("dd-dd <month>(interval)year", -4.174387269895637),
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("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
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("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
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("el <time>year", -3.7689221617874726),
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("Septiembreyear", -4.174387269895637),
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("el <time>la <cycle> pasado", -4.174387269895637),
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("day of month (1st)Marzo", -3.258096538021482),
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("el <day-of-month> de <named-month>year", -3.7689221617874726),
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("el <time>este|en un <cycle>", -3.7689221617874726),
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("Mayoyear", -4.174387269895637),
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("<day-of-month> de <named-month>year", -3.7689221617874726),
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("two time tokens separated by \",\"year", -3.481240089335692),
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("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
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-4.189654742026425),
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("Miercolesel proximo <cycle> ", -4.189654742026425),
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("Luneseste|en un <cycle>", -4.189654742026425),
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("dayyear", -2.1102132003465894),
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("dd-dd <month>(interval)year", -4.189654742026425),
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("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
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("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
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("el <time>year", -3.784189633918261),
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("Septiembreyear", -4.189654742026425),
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("el <time>la <cycle> pasado", -4.189654742026425),
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("day of month (1st)Marzo", -3.2733640101522705),
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("el <day-of-month> de <named-month>year", -3.784189633918261),
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("el <time>este|en un <cycle>", -3.784189633918261),
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("Mayoyear", -4.189654742026425),
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("<day-of-month> de <named-month>year", -3.4965075614664802),
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("two time tokens separated by \",\"year", -3.4965075614664802),
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("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
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("two time tokens separated by \",\"intersect by `de`",
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-4.174387269895637),
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("dayweek", -2.469639177657212),
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("intersect by `de`year", -3.481240089335692),
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("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
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("Domingola <cycle> pasado", -4.174387269895637),
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-4.189654742026425),
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("dayweek", -2.4849066497880004),
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("intersect by `de`year", -3.4965075614664802),
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("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
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("Domingola <cycle> pasado", -4.189654742026425),
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("two time tokens separated by \",\"Septiembre",
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-4.174387269895637),
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("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
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n = 46},
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-4.189654742026425),
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("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
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n = 47},
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koData =
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ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
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ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
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likelihoods =
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HashMap.fromList
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[("Mayoyear (value by adding three composing numbers together)",
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-3.258096538021482),
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("monthyear", -2.5649493574615367),
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("Julioyear", -3.258096538021482),
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("hourmonth", -2.8526314299133175),
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("a las <time-of-day>Julio", -3.258096538021482),
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("dayyear", -2.8526314299133175),
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("Mayoyear", -3.258096538021482),
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("<day-of-month> de <named-month>year", -2.8526314299133175),
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("a las <time-of-day>Enero", -3.258096538021482)],
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n = 7}}),
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-3.367295829986474),
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("monthyear", -2.268683541318364),
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("Julioyear", -3.367295829986474),
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("hourmonth", -2.9618307218783095),
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("a las <time-of-day>Julio", -3.367295829986474),
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("dayyear", -2.6741486494265287),
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("Mayoyear", -2.6741486494265287),
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("<day-of-month> de <named-month>year", -2.6741486494265287),
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("a las <time-of-day>Enero", -3.367295829986474)],
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n = 10}}),
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("n pasados <cycle>",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.1972245773362196,
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@ -442,26 +443,26 @@ classifiers
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likelihoods = HashMap.fromList [], n = 0}}),
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("a las <time-of-day>",
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Classifier{okData =
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ClassData{prior = -5.770831762064673e-2,
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unseen = -5.365976015021851,
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ClassData{prior = -7.320340402329494e-2,
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unseen = -5.135798437050262,
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likelihoods =
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HashMap.fromList
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[("<hour-of-day> and half", -3.9749978045895347),
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("<time-of-day> horas", -4.66814498514948),
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("<hour-of-day> and quarter", -3.751854253275325),
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("time-of-day (latent)", -1.6477200990051173),
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("<hour-of-day> and <relative minutes>", -3.56953269648137),
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("<time-of-day> am|pm", -2.1832383353614793),
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[("<hour-of-day> and half", -3.7436043538031827),
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("<time-of-day> horas", -4.436751534363128),
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("<hour-of-day> and quarter", -3.520460802488973),
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("time-of-day (latent)", -1.4163266482187657),
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("<hour-of-day> and <relative minutes>", -3.3381392456950185),
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("<time-of-day> am|pm", -2.5649493574615367),
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("<hour-of-day> minus <integer> (as relative minutes)",
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-4.66814498514948),
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-4.436751534363128),
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("<hour-of-day> minus quarter (as relative minutes)",
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-4.2626798770413155),
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("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
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-4.0312864262549635),
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("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
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("<hour-of-day> <integer> (as relative minutes)",
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-2.2257979497802753)],
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n = 101},
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-2.644992065135073)],
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n = 79},
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koData =
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ClassData{prior = -2.8810693652338513,
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ClassData{prior = -2.6508917872622613,
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unseen = -3.1780538303479458,
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likelihoods =
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HashMap.fromList
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@ -642,6 +643,23 @@ 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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("<thousands> 0..999",
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Classifier{okData =
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ClassData{prior = -0.6931471805599453,
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unseen = -1.6094379124341003,
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likelihoods =
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HashMap.fromList
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[("1K or 1M in multipliable form<hundreds> 0..99",
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-0.2876820724517809)],
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n = 2},
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koData =
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ClassData{prior = -0.6931471805599453,
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unseen = -1.6094379124341003,
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likelihoods =
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HashMap.fromList
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[("1K or 1M in multipliable formbig number 100 to 1K",
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-0.2876820724517809)],
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n = 2}}),
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("now",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.791759469228055,
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@ -676,13 +694,12 @@ classifiers
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likelihoods = HashMap.fromList [], n = 0}}),
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("number (0..15)",
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Classifier{okData =
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ClassData{prior = -2.381064869371856e-2,
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unseen = -4.442651256490317,
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likelihoods = HashMap.fromList [("", 0.0)], n = 83},
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ClassData{prior = -0.13858616328614667,
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unseen = -4.330733340286331,
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likelihoods = HashMap.fromList [("", 0.0)], n = 74},
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koData =
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ClassData{prior = -3.7495040759303713,
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unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
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ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
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likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
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("D\237a Internacional de las Cooperativas",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.0986122886681098,
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@ -786,11 +803,11 @@ classifiers
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likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
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("1K or 1M in multipliable form",
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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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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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("afternoon",
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Classifier{okData =
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ClassData{prior = -0.2876820724517809,
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@ -802,21 +819,20 @@ classifiers
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likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
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("time-of-day (latent)",
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Classifier{okData =
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ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
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ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
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likelihoods =
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HashMap.fromList
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[("integer (numeric)", -1.3268709406490897),
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("number (0..15)", -0.36545977349446523)],
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[("integer (numeric)", -1.3062516534463542),
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("number (0..15)", -0.3448404862917295)],
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n = 45},
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koData =
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ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
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ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
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likelihoods =
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HashMap.fromList
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[("integer (numeric)", -1.7578579175523736),
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("number (0..15)", -0.9694005571881036),
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("<hundreds> 0..99", -1.4954936530848826),
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("integer (0-9) with two digits", -1.4954936530848826)],
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n = 54}}),
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[("integer (numeric)", -1.5040773967762742),
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("number (0..15)", -0.7156200364120039),
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("integer (0-9) with two digits", -1.241713132308783)],
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n = 42}}),
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("<hour-of-day> and <relative minutes>",
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Classifier{okData =
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ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
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@ -842,19 +858,22 @@ classifiers
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n = 4}}),
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("year",
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Classifier{okData =
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ClassData{prior = -0.8754687373538999,
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unseen = -2.0794415416798357,
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likelihoods =
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HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
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n = 5},
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koData =
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ClassData{prior = -0.5389965007326869,
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unseen = -2.3025850929940455,
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ClassData{prior = -0.8266785731844679,
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unseen = -2.3978952727983707,
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likelihoods =
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HashMap.fromList
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[("integer (numeric)", -0.40546510810816444),
|
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("1K or 1M in multipliable form", -1.0986122886681098)],
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n = 7}}),
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||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1390,27 +1402,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
@ -48,11 +48,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5465437063680699, unseen = -4.219507705176107,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 66},
|
||||
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
|
||||
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -97,63 +97,64 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect by `de`",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
|
||||
ClassData{prior = -0.19290366612449156,
|
||||
unseen = -4.890349128221754,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Miercoleseste|en un <cycle>", -4.174387269895637),
|
||||
[("Miercoleseste|en un <cycle>", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
|
||||
-4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)intersect by `de`",
|
||||
-3.7689221617874726),
|
||||
("daymonth", -1.8230120127321594),
|
||||
("monthyear", -3.7689221617874726),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
|
||||
("Marteseste|en un <cycle>", -4.174387269895637),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <time>Marzo", -3.7689221617874726),
|
||||
-3.784189633918261),
|
||||
("daymonth", -1.8382794848629478),
|
||||
("monthyear", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
|
||||
("Marteseste|en un <cycle>", -4.189654742026425),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <time>Marzo", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Septiembre",
|
||||
-4.174387269895637),
|
||||
("Miercolesel proximo <cycle> ", -4.174387269895637),
|
||||
("Luneseste|en un <cycle>", -4.174387269895637),
|
||||
("dayyear", -2.159484249353372),
|
||||
("dd-dd <month>(interval)year", -4.174387269895637),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
|
||||
("el <time>year", -3.7689221617874726),
|
||||
("Septiembreyear", -4.174387269895637),
|
||||
("el <time>la <cycle> pasado", -4.174387269895637),
|
||||
("day of month (1st)Marzo", -3.258096538021482),
|
||||
("el <day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("el <time>este|en un <cycle>", -3.7689221617874726),
|
||||
("Mayoyear", -4.174387269895637),
|
||||
("<day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("two time tokens separated by \",\"year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("Miercolesel proximo <cycle> ", -4.189654742026425),
|
||||
("Luneseste|en un <cycle>", -4.189654742026425),
|
||||
("dayyear", -2.1102132003465894),
|
||||
("dd-dd <month>(interval)year", -4.189654742026425),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
|
||||
("el <time>year", -3.784189633918261),
|
||||
("Septiembreyear", -4.189654742026425),
|
||||
("el <time>la <cycle> pasado", -4.189654742026425),
|
||||
("day of month (1st)Marzo", -3.2733640101522705),
|
||||
("el <day-of-month> de <named-month>year", -3.784189633918261),
|
||||
("el <time>este|en un <cycle>", -3.784189633918261),
|
||||
("Mayoyear", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year", -3.4965075614664802),
|
||||
("two time tokens separated by \",\"year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
|
||||
("two time tokens separated by \",\"intersect by `de`",
|
||||
-4.174387269895637),
|
||||
("dayweek", -2.469639177657212),
|
||||
("intersect by `de`year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
|
||||
("Domingola <cycle> pasado", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("dayweek", -2.4849066497880004),
|
||||
("intersect by `de`year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
|
||||
("Domingola <cycle> pasado", -4.189654742026425),
|
||||
("two time tokens separated by \",\"Septiembre",
|
||||
-4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
|
||||
n = 46},
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
|
||||
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Mayoyear (value by adding three composing numbers together)",
|
||||
-3.258096538021482),
|
||||
("monthyear", -2.5649493574615367),
|
||||
("Julioyear", -3.258096538021482),
|
||||
("hourmonth", -2.8526314299133175),
|
||||
("a las <time-of-day>Julio", -3.258096538021482),
|
||||
("dayyear", -2.8526314299133175),
|
||||
("Mayoyear", -3.258096538021482),
|
||||
("<day-of-month> de <named-month>year", -2.8526314299133175),
|
||||
("a las <time-of-day>Enero", -3.258096538021482)],
|
||||
n = 7}}),
|
||||
-3.367295829986474),
|
||||
("monthyear", -2.268683541318364),
|
||||
("Julioyear", -3.367295829986474),
|
||||
("hourmonth", -2.9618307218783095),
|
||||
("a las <time-of-day>Julio", -3.367295829986474),
|
||||
("dayyear", -2.6741486494265287),
|
||||
("Mayoyear", -2.6741486494265287),
|
||||
("<day-of-month> de <named-month>year", -2.6741486494265287),
|
||||
("a las <time-of-day>Enero", -3.367295829986474)],
|
||||
n = 10}}),
|
||||
("n pasados <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
@ -442,26 +443,26 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("a las <time-of-day>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.770831762064673e-2,
|
||||
unseen = -5.365976015021851,
|
||||
ClassData{prior = -7.320340402329494e-2,
|
||||
unseen = -5.135798437050262,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<hour-of-day> and half", -3.9749978045895347),
|
||||
("<time-of-day> horas", -4.66814498514948),
|
||||
("<hour-of-day> and quarter", -3.751854253275325),
|
||||
("time-of-day (latent)", -1.6477200990051173),
|
||||
("<hour-of-day> and <relative minutes>", -3.56953269648137),
|
||||
("<time-of-day> am|pm", -2.1832383353614793),
|
||||
[("<hour-of-day> and half", -3.7436043538031827),
|
||||
("<time-of-day> horas", -4.436751534363128),
|
||||
("<hour-of-day> and quarter", -3.520460802488973),
|
||||
("time-of-day (latent)", -1.4163266482187657),
|
||||
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
|
||||
("<time-of-day> am|pm", -2.5649493574615367),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
-4.66814498514948),
|
||||
-4.436751534363128),
|
||||
("<hour-of-day> minus quarter (as relative minutes)",
|
||||
-4.2626798770413155),
|
||||
("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
|
||||
-4.0312864262549635),
|
||||
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.2257979497802753)],
|
||||
n = 101},
|
||||
-2.644992065135073)],
|
||||
n = 79},
|
||||
koData =
|
||||
ClassData{prior = -2.8810693652338513,
|
||||
ClassData{prior = -2.6508917872622613,
|
||||
unseen = -3.1780538303479458,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
@ -642,6 +643,23 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<thousands> 0..999",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable form<hundreds> 0..99",
|
||||
-0.2876820724517809)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable formbig number 100 to 1K",
|
||||
-0.2876820724517809)],
|
||||
n = 2}}),
|
||||
("now",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -676,13 +694,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number (0..15)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -2.381064869371856e-2,
|
||||
unseen = -4.442651256490317,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 83},
|
||||
ClassData{prior = -0.13858616328614667,
|
||||
unseen = -4.330733340286331,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
|
||||
koData =
|
||||
ClassData{prior = -3.7495040759303713,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
|
||||
("D\237a Internacional de las Cooperativas",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
@ -786,11 +803,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("1K or 1M in multipliable form",
|
||||
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}}),
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2876820724517809,
|
||||
@ -802,21 +819,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("time-of-day (latent)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
|
||||
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.3268709406490897),
|
||||
("number (0..15)", -0.36545977349446523)],
|
||||
[("integer (numeric)", -1.3062516534463542),
|
||||
("number (0..15)", -0.3448404862917295)],
|
||||
n = 45},
|
||||
koData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.7578579175523736),
|
||||
("number (0..15)", -0.9694005571881036),
|
||||
("<hundreds> 0..99", -1.4954936530848826),
|
||||
("integer (0-9) with two digits", -1.4954936530848826)],
|
||||
n = 54}}),
|
||||
[("integer (numeric)", -1.5040773967762742),
|
||||
("number (0..15)", -0.7156200364120039),
|
||||
("integer (0-9) with two digits", -1.241713132308783)],
|
||||
n = 42}}),
|
||||
("<hour-of-day> and <relative minutes>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
|
||||
@ -842,19 +858,22 @@ classifiers
|
||||
n = 4}}),
|
||||
("year",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
|
||||
n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.8266785731844679,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.40546510810816444),
|
||||
("1K or 1M in multipliable form", -1.0986122886681098)],
|
||||
n = 7}}),
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1390,27 +1402,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
@ -48,11 +48,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5465437063680699, unseen = -4.219507705176107,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 66},
|
||||
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
|
||||
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -97,63 +97,64 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect by `de`",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
|
||||
ClassData{prior = -0.19290366612449156,
|
||||
unseen = -4.890349128221754,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Miercoleseste|en un <cycle>", -4.174387269895637),
|
||||
[("Miercoleseste|en un <cycle>", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
|
||||
-4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)intersect by `de`",
|
||||
-3.7689221617874726),
|
||||
("daymonth", -1.8230120127321594),
|
||||
("monthyear", -3.7689221617874726),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
|
||||
("Marteseste|en un <cycle>", -4.174387269895637),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <time>Marzo", -3.7689221617874726),
|
||||
-3.784189633918261),
|
||||
("daymonth", -1.8382794848629478),
|
||||
("monthyear", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
|
||||
("Marteseste|en un <cycle>", -4.189654742026425),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <time>Marzo", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Septiembre",
|
||||
-4.174387269895637),
|
||||
("Miercolesel proximo <cycle> ", -4.174387269895637),
|
||||
("Luneseste|en un <cycle>", -4.174387269895637),
|
||||
("dayyear", -2.159484249353372),
|
||||
("dd-dd <month>(interval)year", -4.174387269895637),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
|
||||
("el <time>year", -3.7689221617874726),
|
||||
("Septiembreyear", -4.174387269895637),
|
||||
("el <time>la <cycle> pasado", -4.174387269895637),
|
||||
("day of month (1st)Marzo", -3.258096538021482),
|
||||
("el <day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("el <time>este|en un <cycle>", -3.7689221617874726),
|
||||
("Mayoyear", -4.174387269895637),
|
||||
("<day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("two time tokens separated by \",\"year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("Miercolesel proximo <cycle> ", -4.189654742026425),
|
||||
("Luneseste|en un <cycle>", -4.189654742026425),
|
||||
("dayyear", -2.1102132003465894),
|
||||
("dd-dd <month>(interval)year", -4.189654742026425),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
|
||||
("el <time>year", -3.784189633918261),
|
||||
("Septiembreyear", -4.189654742026425),
|
||||
("el <time>la <cycle> pasado", -4.189654742026425),
|
||||
("day of month (1st)Marzo", -3.2733640101522705),
|
||||
("el <day-of-month> de <named-month>year", -3.784189633918261),
|
||||
("el <time>este|en un <cycle>", -3.784189633918261),
|
||||
("Mayoyear", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year", -3.4965075614664802),
|
||||
("two time tokens separated by \",\"year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
|
||||
("two time tokens separated by \",\"intersect by `de`",
|
||||
-4.174387269895637),
|
||||
("dayweek", -2.469639177657212),
|
||||
("intersect by `de`year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
|
||||
("Domingola <cycle> pasado", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("dayweek", -2.4849066497880004),
|
||||
("intersect by `de`year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
|
||||
("Domingola <cycle> pasado", -4.189654742026425),
|
||||
("two time tokens separated by \",\"Septiembre",
|
||||
-4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
|
||||
n = 46},
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
|
||||
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Mayoyear (value by adding three composing numbers together)",
|
||||
-3.258096538021482),
|
||||
("monthyear", -2.5649493574615367),
|
||||
("Julioyear", -3.258096538021482),
|
||||
("hourmonth", -2.8526314299133175),
|
||||
("a las <time-of-day>Julio", -3.258096538021482),
|
||||
("dayyear", -2.8526314299133175),
|
||||
("Mayoyear", -3.258096538021482),
|
||||
("<day-of-month> de <named-month>year", -2.8526314299133175),
|
||||
("a las <time-of-day>Enero", -3.258096538021482)],
|
||||
n = 7}}),
|
||||
-3.367295829986474),
|
||||
("monthyear", -2.268683541318364),
|
||||
("Julioyear", -3.367295829986474),
|
||||
("hourmonth", -2.9618307218783095),
|
||||
("a las <time-of-day>Julio", -3.367295829986474),
|
||||
("dayyear", -2.6741486494265287),
|
||||
("Mayoyear", -2.6741486494265287),
|
||||
("<day-of-month> de <named-month>year", -2.6741486494265287),
|
||||
("a las <time-of-day>Enero", -3.367295829986474)],
|
||||
n = 10}}),
|
||||
("n pasados <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
@ -442,26 +443,26 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("a las <time-of-day>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.770831762064673e-2,
|
||||
unseen = -5.365976015021851,
|
||||
ClassData{prior = -7.320340402329494e-2,
|
||||
unseen = -5.135798437050262,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<hour-of-day> and half", -3.9749978045895347),
|
||||
("<time-of-day> horas", -4.66814498514948),
|
||||
("<hour-of-day> and quarter", -3.751854253275325),
|
||||
("time-of-day (latent)", -1.6477200990051173),
|
||||
("<hour-of-day> and <relative minutes>", -3.56953269648137),
|
||||
("<time-of-day> am|pm", -2.1832383353614793),
|
||||
[("<hour-of-day> and half", -3.7436043538031827),
|
||||
("<time-of-day> horas", -4.436751534363128),
|
||||
("<hour-of-day> and quarter", -3.520460802488973),
|
||||
("time-of-day (latent)", -1.4163266482187657),
|
||||
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
|
||||
("<time-of-day> am|pm", -2.5649493574615367),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
-4.66814498514948),
|
||||
-4.436751534363128),
|
||||
("<hour-of-day> minus quarter (as relative minutes)",
|
||||
-4.2626798770413155),
|
||||
("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
|
||||
-4.0312864262549635),
|
||||
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.2257979497802753)],
|
||||
n = 101},
|
||||
-2.644992065135073)],
|
||||
n = 79},
|
||||
koData =
|
||||
ClassData{prior = -2.8810693652338513,
|
||||
ClassData{prior = -2.6508917872622613,
|
||||
unseen = -3.1780538303479458,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
@ -642,6 +643,23 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<thousands> 0..999",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable form<hundreds> 0..99",
|
||||
-0.2876820724517809)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable formbig number 100 to 1K",
|
||||
-0.2876820724517809)],
|
||||
n = 2}}),
|
||||
("now",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -676,13 +694,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number (0..15)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -2.381064869371856e-2,
|
||||
unseen = -4.442651256490317,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 83},
|
||||
ClassData{prior = -0.13858616328614667,
|
||||
unseen = -4.330733340286331,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
|
||||
koData =
|
||||
ClassData{prior = -3.7495040759303713,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
|
||||
("D\237a Internacional de las Cooperativas",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
@ -786,11 +803,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("1K or 1M in multipliable form",
|
||||
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}}),
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2876820724517809,
|
||||
@ -802,21 +819,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("time-of-day (latent)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
|
||||
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.3268709406490897),
|
||||
("number (0..15)", -0.36545977349446523)],
|
||||
[("integer (numeric)", -1.3062516534463542),
|
||||
("number (0..15)", -0.3448404862917295)],
|
||||
n = 45},
|
||||
koData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.7578579175523736),
|
||||
("number (0..15)", -0.9694005571881036),
|
||||
("<hundreds> 0..99", -1.4954936530848826),
|
||||
("integer (0-9) with two digits", -1.4954936530848826)],
|
||||
n = 54}}),
|
||||
[("integer (numeric)", -1.5040773967762742),
|
||||
("number (0..15)", -0.7156200364120039),
|
||||
("integer (0-9) with two digits", -1.241713132308783)],
|
||||
n = 42}}),
|
||||
("<hour-of-day> and <relative minutes>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
|
||||
@ -842,19 +858,22 @@ classifiers
|
||||
n = 4}}),
|
||||
("year",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
|
||||
n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.8266785731844679,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.40546510810816444),
|
||||
("1K or 1M in multipliable form", -1.0986122886681098)],
|
||||
n = 7}}),
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1390,27 +1402,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
@ -48,11 +48,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5465437063680699, unseen = -4.219507705176107,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 66},
|
||||
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
|
||||
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -97,63 +97,64 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect by `de`",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
|
||||
ClassData{prior = -0.19290366612449156,
|
||||
unseen = -4.890349128221754,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Miercoleseste|en un <cycle>", -4.174387269895637),
|
||||
[("Miercoleseste|en un <cycle>", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
|
||||
-4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)intersect by `de`",
|
||||
-3.7689221617874726),
|
||||
("daymonth", -1.8230120127321594),
|
||||
("monthyear", -3.7689221617874726),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
|
||||
("Marteseste|en un <cycle>", -4.174387269895637),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <time>Marzo", -3.7689221617874726),
|
||||
-3.784189633918261),
|
||||
("daymonth", -1.8382794848629478),
|
||||
("monthyear", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
|
||||
("Marteseste|en un <cycle>", -4.189654742026425),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <time>Marzo", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Septiembre",
|
||||
-4.174387269895637),
|
||||
("Miercolesel proximo <cycle> ", -4.174387269895637),
|
||||
("Luneseste|en un <cycle>", -4.174387269895637),
|
||||
("dayyear", -2.159484249353372),
|
||||
("dd-dd <month>(interval)year", -4.174387269895637),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
|
||||
("el <time>year", -3.7689221617874726),
|
||||
("Septiembreyear", -4.174387269895637),
|
||||
("el <time>la <cycle> pasado", -4.174387269895637),
|
||||
("day of month (1st)Marzo", -3.258096538021482),
|
||||
("el <day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("el <time>este|en un <cycle>", -3.7689221617874726),
|
||||
("Mayoyear", -4.174387269895637),
|
||||
("<day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("two time tokens separated by \",\"year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("Miercolesel proximo <cycle> ", -4.189654742026425),
|
||||
("Luneseste|en un <cycle>", -4.189654742026425),
|
||||
("dayyear", -2.1102132003465894),
|
||||
("dd-dd <month>(interval)year", -4.189654742026425),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
|
||||
("el <time>year", -3.784189633918261),
|
||||
("Septiembreyear", -4.189654742026425),
|
||||
("el <time>la <cycle> pasado", -4.189654742026425),
|
||||
("day of month (1st)Marzo", -3.2733640101522705),
|
||||
("el <day-of-month> de <named-month>year", -3.784189633918261),
|
||||
("el <time>este|en un <cycle>", -3.784189633918261),
|
||||
("Mayoyear", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year", -3.4965075614664802),
|
||||
("two time tokens separated by \",\"year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
|
||||
("two time tokens separated by \",\"intersect by `de`",
|
||||
-4.174387269895637),
|
||||
("dayweek", -2.469639177657212),
|
||||
("intersect by `de`year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
|
||||
("Domingola <cycle> pasado", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("dayweek", -2.4849066497880004),
|
||||
("intersect by `de`year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
|
||||
("Domingola <cycle> pasado", -4.189654742026425),
|
||||
("two time tokens separated by \",\"Septiembre",
|
||||
-4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
|
||||
n = 46},
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
|
||||
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Mayoyear (value by adding three composing numbers together)",
|
||||
-3.258096538021482),
|
||||
("monthyear", -2.5649493574615367),
|
||||
("Julioyear", -3.258096538021482),
|
||||
("hourmonth", -2.8526314299133175),
|
||||
("a las <time-of-day>Julio", -3.258096538021482),
|
||||
("dayyear", -2.8526314299133175),
|
||||
("Mayoyear", -3.258096538021482),
|
||||
("<day-of-month> de <named-month>year", -2.8526314299133175),
|
||||
("a las <time-of-day>Enero", -3.258096538021482)],
|
||||
n = 7}}),
|
||||
-3.367295829986474),
|
||||
("monthyear", -2.268683541318364),
|
||||
("Julioyear", -3.367295829986474),
|
||||
("hourmonth", -2.9618307218783095),
|
||||
("a las <time-of-day>Julio", -3.367295829986474),
|
||||
("dayyear", -2.6741486494265287),
|
||||
("Mayoyear", -2.6741486494265287),
|
||||
("<day-of-month> de <named-month>year", -2.6741486494265287),
|
||||
("a las <time-of-day>Enero", -3.367295829986474)],
|
||||
n = 10}}),
|
||||
("n pasados <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
@ -442,26 +443,26 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("a las <time-of-day>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.770831762064673e-2,
|
||||
unseen = -5.365976015021851,
|
||||
ClassData{prior = -7.320340402329494e-2,
|
||||
unseen = -5.135798437050262,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<hour-of-day> and half", -3.9749978045895347),
|
||||
("<time-of-day> horas", -4.66814498514948),
|
||||
("<hour-of-day> and quarter", -3.751854253275325),
|
||||
("time-of-day (latent)", -1.6477200990051173),
|
||||
("<hour-of-day> and <relative minutes>", -3.56953269648137),
|
||||
("<time-of-day> am|pm", -2.1832383353614793),
|
||||
[("<hour-of-day> and half", -3.7436043538031827),
|
||||
("<time-of-day> horas", -4.436751534363128),
|
||||
("<hour-of-day> and quarter", -3.520460802488973),
|
||||
("time-of-day (latent)", -1.4163266482187657),
|
||||
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
|
||||
("<time-of-day> am|pm", -2.5649493574615367),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
-4.66814498514948),
|
||||
-4.436751534363128),
|
||||
("<hour-of-day> minus quarter (as relative minutes)",
|
||||
-4.2626798770413155),
|
||||
("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
|
||||
-4.0312864262549635),
|
||||
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.2257979497802753)],
|
||||
n = 101},
|
||||
-2.644992065135073)],
|
||||
n = 79},
|
||||
koData =
|
||||
ClassData{prior = -2.8810693652338513,
|
||||
ClassData{prior = -2.6508917872622613,
|
||||
unseen = -3.1780538303479458,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
@ -642,6 +643,23 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<thousands> 0..999",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable form<hundreds> 0..99",
|
||||
-0.2876820724517809)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable formbig number 100 to 1K",
|
||||
-0.2876820724517809)],
|
||||
n = 2}}),
|
||||
("now",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -676,13 +694,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number (0..15)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -2.381064869371856e-2,
|
||||
unseen = -4.442651256490317,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 83},
|
||||
ClassData{prior = -0.13858616328614667,
|
||||
unseen = -4.330733340286331,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
|
||||
koData =
|
||||
ClassData{prior = -3.7495040759303713,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
|
||||
("D\237a Internacional de las Cooperativas",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
@ -786,11 +803,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("1K or 1M in multipliable form",
|
||||
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}}),
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2876820724517809,
|
||||
@ -802,21 +819,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("time-of-day (latent)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
|
||||
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.3268709406490897),
|
||||
("number (0..15)", -0.36545977349446523)],
|
||||
[("integer (numeric)", -1.3062516534463542),
|
||||
("number (0..15)", -0.3448404862917295)],
|
||||
n = 45},
|
||||
koData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.7578579175523736),
|
||||
("number (0..15)", -0.9694005571881036),
|
||||
("<hundreds> 0..99", -1.4954936530848826),
|
||||
("integer (0-9) with two digits", -1.4954936530848826)],
|
||||
n = 54}}),
|
||||
[("integer (numeric)", -1.5040773967762742),
|
||||
("number (0..15)", -0.7156200364120039),
|
||||
("integer (0-9) with two digits", -1.241713132308783)],
|
||||
n = 42}}),
|
||||
("<hour-of-day> and <relative minutes>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
|
||||
@ -842,19 +858,22 @@ classifiers
|
||||
n = 4}}),
|
||||
("year",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
|
||||
n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.8266785731844679,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.40546510810816444),
|
||||
("1K or 1M in multipliable form", -1.0986122886681098)],
|
||||
n = 7}}),
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1390,27 +1402,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
@ -48,11 +48,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5465437063680699, unseen = -4.219507705176107,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 66},
|
||||
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
|
||||
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -97,63 +97,64 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect by `de`",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
|
||||
ClassData{prior = -0.19290366612449156,
|
||||
unseen = -4.890349128221754,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Miercoleseste|en un <cycle>", -4.174387269895637),
|
||||
[("Miercoleseste|en un <cycle>", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
|
||||
-4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)intersect by `de`",
|
||||
-3.7689221617874726),
|
||||
("daymonth", -1.8230120127321594),
|
||||
("monthyear", -3.7689221617874726),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
|
||||
("Marteseste|en un <cycle>", -4.174387269895637),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <time>Marzo", -3.7689221617874726),
|
||||
-3.784189633918261),
|
||||
("daymonth", -1.8382794848629478),
|
||||
("monthyear", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
|
||||
("Marteseste|en un <cycle>", -4.189654742026425),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <time>Marzo", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Septiembre",
|
||||
-4.174387269895637),
|
||||
("Miercolesel proximo <cycle> ", -4.174387269895637),
|
||||
("Luneseste|en un <cycle>", -4.174387269895637),
|
||||
("dayyear", -2.159484249353372),
|
||||
("dd-dd <month>(interval)year", -4.174387269895637),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
|
||||
("el <time>year", -3.7689221617874726),
|
||||
("Septiembreyear", -4.174387269895637),
|
||||
("el <time>la <cycle> pasado", -4.174387269895637),
|
||||
("day of month (1st)Marzo", -3.258096538021482),
|
||||
("el <day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("el <time>este|en un <cycle>", -3.7689221617874726),
|
||||
("Mayoyear", -4.174387269895637),
|
||||
("<day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("two time tokens separated by \",\"year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("Miercolesel proximo <cycle> ", -4.189654742026425),
|
||||
("Luneseste|en un <cycle>", -4.189654742026425),
|
||||
("dayyear", -2.1102132003465894),
|
||||
("dd-dd <month>(interval)year", -4.189654742026425),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
|
||||
("el <time>year", -3.784189633918261),
|
||||
("Septiembreyear", -4.189654742026425),
|
||||
("el <time>la <cycle> pasado", -4.189654742026425),
|
||||
("day of month (1st)Marzo", -3.2733640101522705),
|
||||
("el <day-of-month> de <named-month>year", -3.784189633918261),
|
||||
("el <time>este|en un <cycle>", -3.784189633918261),
|
||||
("Mayoyear", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year", -3.4965075614664802),
|
||||
("two time tokens separated by \",\"year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
|
||||
("two time tokens separated by \",\"intersect by `de`",
|
||||
-4.174387269895637),
|
||||
("dayweek", -2.469639177657212),
|
||||
("intersect by `de`year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
|
||||
("Domingola <cycle> pasado", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("dayweek", -2.4849066497880004),
|
||||
("intersect by `de`year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
|
||||
("Domingola <cycle> pasado", -4.189654742026425),
|
||||
("two time tokens separated by \",\"Septiembre",
|
||||
-4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
|
||||
n = 46},
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
|
||||
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Mayoyear (value by adding three composing numbers together)",
|
||||
-3.258096538021482),
|
||||
("monthyear", -2.5649493574615367),
|
||||
("Julioyear", -3.258096538021482),
|
||||
("hourmonth", -2.8526314299133175),
|
||||
("a las <time-of-day>Julio", -3.258096538021482),
|
||||
("dayyear", -2.8526314299133175),
|
||||
("Mayoyear", -3.258096538021482),
|
||||
("<day-of-month> de <named-month>year", -2.8526314299133175),
|
||||
("a las <time-of-day>Enero", -3.258096538021482)],
|
||||
n = 7}}),
|
||||
-3.367295829986474),
|
||||
("monthyear", -2.268683541318364),
|
||||
("Julioyear", -3.367295829986474),
|
||||
("hourmonth", -2.9618307218783095),
|
||||
("a las <time-of-day>Julio", -3.367295829986474),
|
||||
("dayyear", -2.6741486494265287),
|
||||
("Mayoyear", -2.6741486494265287),
|
||||
("<day-of-month> de <named-month>year", -2.6741486494265287),
|
||||
("a las <time-of-day>Enero", -3.367295829986474)],
|
||||
n = 10}}),
|
||||
("n pasados <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
@ -442,26 +443,26 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("a las <time-of-day>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.770831762064673e-2,
|
||||
unseen = -5.365976015021851,
|
||||
ClassData{prior = -7.320340402329494e-2,
|
||||
unseen = -5.135798437050262,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<hour-of-day> and half", -3.9749978045895347),
|
||||
("<time-of-day> horas", -4.66814498514948),
|
||||
("<hour-of-day> and quarter", -3.751854253275325),
|
||||
("time-of-day (latent)", -1.6477200990051173),
|
||||
("<hour-of-day> and <relative minutes>", -3.56953269648137),
|
||||
("<time-of-day> am|pm", -2.1832383353614793),
|
||||
[("<hour-of-day> and half", -3.7436043538031827),
|
||||
("<time-of-day> horas", -4.436751534363128),
|
||||
("<hour-of-day> and quarter", -3.520460802488973),
|
||||
("time-of-day (latent)", -1.4163266482187657),
|
||||
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
|
||||
("<time-of-day> am|pm", -2.5649493574615367),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
-4.66814498514948),
|
||||
-4.436751534363128),
|
||||
("<hour-of-day> minus quarter (as relative minutes)",
|
||||
-4.2626798770413155),
|
||||
("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
|
||||
-4.0312864262549635),
|
||||
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.2257979497802753)],
|
||||
n = 101},
|
||||
-2.644992065135073)],
|
||||
n = 79},
|
||||
koData =
|
||||
ClassData{prior = -2.8810693652338513,
|
||||
ClassData{prior = -2.6508917872622613,
|
||||
unseen = -3.1780538303479458,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
@ -642,6 +643,23 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<thousands> 0..999",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable form<hundreds> 0..99",
|
||||
-0.2876820724517809)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable formbig number 100 to 1K",
|
||||
-0.2876820724517809)],
|
||||
n = 2}}),
|
||||
("now",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -676,13 +694,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number (0..15)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -2.381064869371856e-2,
|
||||
unseen = -4.442651256490317,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 83},
|
||||
ClassData{prior = -0.13858616328614667,
|
||||
unseen = -4.330733340286331,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
|
||||
koData =
|
||||
ClassData{prior = -3.7495040759303713,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
|
||||
("D\237a Internacional de las Cooperativas",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
@ -786,11 +803,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("1K or 1M in multipliable form",
|
||||
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}}),
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2876820724517809,
|
||||
@ -802,21 +819,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("time-of-day (latent)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
|
||||
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.3268709406490897),
|
||||
("number (0..15)", -0.36545977349446523)],
|
||||
[("integer (numeric)", -1.3062516534463542),
|
||||
("number (0..15)", -0.3448404862917295)],
|
||||
n = 45},
|
||||
koData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.7578579175523736),
|
||||
("number (0..15)", -0.9694005571881036),
|
||||
("<hundreds> 0..99", -1.4954936530848826),
|
||||
("integer (0-9) with two digits", -1.4954936530848826)],
|
||||
n = 54}}),
|
||||
[("integer (numeric)", -1.5040773967762742),
|
||||
("number (0..15)", -0.7156200364120039),
|
||||
("integer (0-9) with two digits", -1.241713132308783)],
|
||||
n = 42}}),
|
||||
("<hour-of-day> and <relative minutes>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
|
||||
@ -842,19 +858,22 @@ classifiers
|
||||
n = 4}}),
|
||||
("year",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
|
||||
n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.8266785731844679,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.40546510810816444),
|
||||
("1K or 1M in multipliable form", -1.0986122886681098)],
|
||||
n = 7}}),
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1397,27 +1409,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
@ -48,11 +48,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5465437063680699, unseen = -4.219507705176107,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 66},
|
||||
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
|
||||
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -97,63 +97,64 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect by `de`",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
|
||||
ClassData{prior = -0.19290366612449156,
|
||||
unseen = -4.890349128221754,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Miercoleseste|en un <cycle>", -4.174387269895637),
|
||||
[("Miercoleseste|en un <cycle>", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
|
||||
-4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)intersect by `de`",
|
||||
-3.7689221617874726),
|
||||
("daymonth", -1.8230120127321594),
|
||||
("monthyear", -3.7689221617874726),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
|
||||
("Marteseste|en un <cycle>", -4.174387269895637),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <time>Marzo", -3.7689221617874726),
|
||||
-3.784189633918261),
|
||||
("daymonth", -1.8382794848629478),
|
||||
("monthyear", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
|
||||
("Marteseste|en un <cycle>", -4.189654742026425),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <time>Marzo", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Septiembre",
|
||||
-4.174387269895637),
|
||||
("Miercolesel proximo <cycle> ", -4.174387269895637),
|
||||
("Luneseste|en un <cycle>", -4.174387269895637),
|
||||
("dayyear", -2.159484249353372),
|
||||
("dd-dd <month>(interval)year", -4.174387269895637),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
|
||||
("el <time>year", -3.7689221617874726),
|
||||
("Septiembreyear", -4.174387269895637),
|
||||
("el <time>la <cycle> pasado", -4.174387269895637),
|
||||
("day of month (1st)Marzo", -3.258096538021482),
|
||||
("el <day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("el <time>este|en un <cycle>", -3.7689221617874726),
|
||||
("Mayoyear", -4.174387269895637),
|
||||
("<day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("two time tokens separated by \",\"year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("Miercolesel proximo <cycle> ", -4.189654742026425),
|
||||
("Luneseste|en un <cycle>", -4.189654742026425),
|
||||
("dayyear", -2.1102132003465894),
|
||||
("dd-dd <month>(interval)year", -4.189654742026425),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
|
||||
("el <time>year", -3.784189633918261),
|
||||
("Septiembreyear", -4.189654742026425),
|
||||
("el <time>la <cycle> pasado", -4.189654742026425),
|
||||
("day of month (1st)Marzo", -3.2733640101522705),
|
||||
("el <day-of-month> de <named-month>year", -3.784189633918261),
|
||||
("el <time>este|en un <cycle>", -3.784189633918261),
|
||||
("Mayoyear", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year", -3.4965075614664802),
|
||||
("two time tokens separated by \",\"year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
|
||||
("two time tokens separated by \",\"intersect by `de`",
|
||||
-4.174387269895637),
|
||||
("dayweek", -2.469639177657212),
|
||||
("intersect by `de`year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
|
||||
("Domingola <cycle> pasado", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("dayweek", -2.4849066497880004),
|
||||
("intersect by `de`year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
|
||||
("Domingola <cycle> pasado", -4.189654742026425),
|
||||
("two time tokens separated by \",\"Septiembre",
|
||||
-4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
|
||||
n = 46},
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
|
||||
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Mayoyear (value by adding three composing numbers together)",
|
||||
-3.258096538021482),
|
||||
("monthyear", -2.5649493574615367),
|
||||
("Julioyear", -3.258096538021482),
|
||||
("hourmonth", -2.8526314299133175),
|
||||
("a las <time-of-day>Julio", -3.258096538021482),
|
||||
("dayyear", -2.8526314299133175),
|
||||
("Mayoyear", -3.258096538021482),
|
||||
("<day-of-month> de <named-month>year", -2.8526314299133175),
|
||||
("a las <time-of-day>Enero", -3.258096538021482)],
|
||||
n = 7}}),
|
||||
-3.367295829986474),
|
||||
("monthyear", -2.268683541318364),
|
||||
("Julioyear", -3.367295829986474),
|
||||
("hourmonth", -2.9618307218783095),
|
||||
("a las <time-of-day>Julio", -3.367295829986474),
|
||||
("dayyear", -2.6741486494265287),
|
||||
("Mayoyear", -2.6741486494265287),
|
||||
("<day-of-month> de <named-month>year", -2.6741486494265287),
|
||||
("a las <time-of-day>Enero", -3.367295829986474)],
|
||||
n = 10}}),
|
||||
("n pasados <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
@ -442,26 +443,26 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("a las <time-of-day>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.770831762064673e-2,
|
||||
unseen = -5.365976015021851,
|
||||
ClassData{prior = -7.320340402329494e-2,
|
||||
unseen = -5.135798437050262,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<hour-of-day> and half", -3.9749978045895347),
|
||||
("<time-of-day> horas", -4.66814498514948),
|
||||
("<hour-of-day> and quarter", -3.751854253275325),
|
||||
("time-of-day (latent)", -1.6477200990051173),
|
||||
("<hour-of-day> and <relative minutes>", -3.56953269648137),
|
||||
("<time-of-day> am|pm", -2.1832383353614793),
|
||||
[("<hour-of-day> and half", -3.7436043538031827),
|
||||
("<time-of-day> horas", -4.436751534363128),
|
||||
("<hour-of-day> and quarter", -3.520460802488973),
|
||||
("time-of-day (latent)", -1.4163266482187657),
|
||||
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
|
||||
("<time-of-day> am|pm", -2.5649493574615367),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
-4.66814498514948),
|
||||
-4.436751534363128),
|
||||
("<hour-of-day> minus quarter (as relative minutes)",
|
||||
-4.2626798770413155),
|
||||
("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
|
||||
-4.0312864262549635),
|
||||
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.2257979497802753)],
|
||||
n = 101},
|
||||
-2.644992065135073)],
|
||||
n = 79},
|
||||
koData =
|
||||
ClassData{prior = -2.8810693652338513,
|
||||
ClassData{prior = -2.6508917872622613,
|
||||
unseen = -3.1780538303479458,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
@ -642,6 +643,23 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<thousands> 0..999",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable form<hundreds> 0..99",
|
||||
-0.2876820724517809)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable formbig number 100 to 1K",
|
||||
-0.2876820724517809)],
|
||||
n = 2}}),
|
||||
("now",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -676,13 +694,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number (0..15)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -2.381064869371856e-2,
|
||||
unseen = -4.442651256490317,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 83},
|
||||
ClassData{prior = -0.13858616328614667,
|
||||
unseen = -4.330733340286331,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
|
||||
koData =
|
||||
ClassData{prior = -3.7495040759303713,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
|
||||
("D\237a Internacional de las Cooperativas",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
@ -786,11 +803,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("1K or 1M in multipliable form",
|
||||
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}}),
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2876820724517809,
|
||||
@ -802,21 +819,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("time-of-day (latent)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
|
||||
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.3268709406490897),
|
||||
("number (0..15)", -0.36545977349446523)],
|
||||
[("integer (numeric)", -1.3062516534463542),
|
||||
("number (0..15)", -0.3448404862917295)],
|
||||
n = 45},
|
||||
koData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.7578579175523736),
|
||||
("number (0..15)", -0.9694005571881036),
|
||||
("<hundreds> 0..99", -1.4954936530848826),
|
||||
("integer (0-9) with two digits", -1.4954936530848826)],
|
||||
n = 54}}),
|
||||
[("integer (numeric)", -1.5040773967762742),
|
||||
("number (0..15)", -0.7156200364120039),
|
||||
("integer (0-9) with two digits", -1.241713132308783)],
|
||||
n = 42}}),
|
||||
("<hour-of-day> and <relative minutes>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
|
||||
@ -842,19 +858,22 @@ classifiers
|
||||
n = 4}}),
|
||||
("year",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
|
||||
n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.8266785731844679,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.40546510810816444),
|
||||
("1K or 1M in multipliable form", -1.0986122886681098)],
|
||||
n = 7}}),
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1390,27 +1402,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
@ -48,11 +48,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5465437063680699, unseen = -4.219507705176107,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 66},
|
||||
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
|
||||
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -97,63 +97,64 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect by `de`",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
|
||||
ClassData{prior = -0.19290366612449156,
|
||||
unseen = -4.890349128221754,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Miercoleseste|en un <cycle>", -4.174387269895637),
|
||||
[("Miercoleseste|en un <cycle>", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
|
||||
-4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)intersect by `de`",
|
||||
-3.7689221617874726),
|
||||
("daymonth", -1.8230120127321594),
|
||||
("monthyear", -3.7689221617874726),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
|
||||
("Marteseste|en un <cycle>", -4.174387269895637),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <time>Marzo", -3.7689221617874726),
|
||||
-3.784189633918261),
|
||||
("daymonth", -1.8382794848629478),
|
||||
("monthyear", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
|
||||
("Marteseste|en un <cycle>", -4.189654742026425),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <time>Marzo", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Septiembre",
|
||||
-4.174387269895637),
|
||||
("Miercolesel proximo <cycle> ", -4.174387269895637),
|
||||
("Luneseste|en un <cycle>", -4.174387269895637),
|
||||
("dayyear", -2.159484249353372),
|
||||
("dd-dd <month>(interval)year", -4.174387269895637),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
|
||||
("el <time>year", -3.7689221617874726),
|
||||
("Septiembreyear", -4.174387269895637),
|
||||
("el <time>la <cycle> pasado", -4.174387269895637),
|
||||
("day of month (1st)Marzo", -3.258096538021482),
|
||||
("el <day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("el <time>este|en un <cycle>", -3.7689221617874726),
|
||||
("Mayoyear", -4.174387269895637),
|
||||
("<day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("two time tokens separated by \",\"year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("Miercolesel proximo <cycle> ", -4.189654742026425),
|
||||
("Luneseste|en un <cycle>", -4.189654742026425),
|
||||
("dayyear", -2.1102132003465894),
|
||||
("dd-dd <month>(interval)year", -4.189654742026425),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
|
||||
("el <time>year", -3.784189633918261),
|
||||
("Septiembreyear", -4.189654742026425),
|
||||
("el <time>la <cycle> pasado", -4.189654742026425),
|
||||
("day of month (1st)Marzo", -3.2733640101522705),
|
||||
("el <day-of-month> de <named-month>year", -3.784189633918261),
|
||||
("el <time>este|en un <cycle>", -3.784189633918261),
|
||||
("Mayoyear", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year", -3.4965075614664802),
|
||||
("two time tokens separated by \",\"year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
|
||||
("two time tokens separated by \",\"intersect by `de`",
|
||||
-4.174387269895637),
|
||||
("dayweek", -2.469639177657212),
|
||||
("intersect by `de`year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
|
||||
("Domingola <cycle> pasado", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("dayweek", -2.4849066497880004),
|
||||
("intersect by `de`year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
|
||||
("Domingola <cycle> pasado", -4.189654742026425),
|
||||
("two time tokens separated by \",\"Septiembre",
|
||||
-4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
|
||||
n = 46},
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
|
||||
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Mayoyear (value by adding three composing numbers together)",
|
||||
-3.258096538021482),
|
||||
("monthyear", -2.5649493574615367),
|
||||
("Julioyear", -3.258096538021482),
|
||||
("hourmonth", -2.8526314299133175),
|
||||
("a las <time-of-day>Julio", -3.258096538021482),
|
||||
("dayyear", -2.8526314299133175),
|
||||
("Mayoyear", -3.258096538021482),
|
||||
("<day-of-month> de <named-month>year", -2.8526314299133175),
|
||||
("a las <time-of-day>Enero", -3.258096538021482)],
|
||||
n = 7}}),
|
||||
-3.367295829986474),
|
||||
("monthyear", -2.268683541318364),
|
||||
("Julioyear", -3.367295829986474),
|
||||
("hourmonth", -2.9618307218783095),
|
||||
("a las <time-of-day>Julio", -3.367295829986474),
|
||||
("dayyear", -2.6741486494265287),
|
||||
("Mayoyear", -2.6741486494265287),
|
||||
("<day-of-month> de <named-month>year", -2.6741486494265287),
|
||||
("a las <time-of-day>Enero", -3.367295829986474)],
|
||||
n = 10}}),
|
||||
("n pasados <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
@ -442,26 +443,26 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("a las <time-of-day>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.770831762064673e-2,
|
||||
unseen = -5.365976015021851,
|
||||
ClassData{prior = -7.320340402329494e-2,
|
||||
unseen = -5.135798437050262,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<hour-of-day> and half", -3.9749978045895347),
|
||||
("<time-of-day> horas", -4.66814498514948),
|
||||
("<hour-of-day> and quarter", -3.751854253275325),
|
||||
("time-of-day (latent)", -1.6477200990051173),
|
||||
("<hour-of-day> and <relative minutes>", -3.56953269648137),
|
||||
("<time-of-day> am|pm", -2.1832383353614793),
|
||||
[("<hour-of-day> and half", -3.7436043538031827),
|
||||
("<time-of-day> horas", -4.436751534363128),
|
||||
("<hour-of-day> and quarter", -3.520460802488973),
|
||||
("time-of-day (latent)", -1.4163266482187657),
|
||||
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
|
||||
("<time-of-day> am|pm", -2.5649493574615367),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
-4.66814498514948),
|
||||
-4.436751534363128),
|
||||
("<hour-of-day> minus quarter (as relative minutes)",
|
||||
-4.2626798770413155),
|
||||
("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
|
||||
-4.0312864262549635),
|
||||
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.2257979497802753)],
|
||||
n = 101},
|
||||
-2.644992065135073)],
|
||||
n = 79},
|
||||
koData =
|
||||
ClassData{prior = -2.8810693652338513,
|
||||
ClassData{prior = -2.6508917872622613,
|
||||
unseen = -3.1780538303479458,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
@ -642,6 +643,23 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<thousands> 0..999",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable form<hundreds> 0..99",
|
||||
-0.2876820724517809)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable formbig number 100 to 1K",
|
||||
-0.2876820724517809)],
|
||||
n = 2}}),
|
||||
("now",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -676,13 +694,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number (0..15)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -2.381064869371856e-2,
|
||||
unseen = -4.442651256490317,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 83},
|
||||
ClassData{prior = -0.13858616328614667,
|
||||
unseen = -4.330733340286331,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
|
||||
koData =
|
||||
ClassData{prior = -3.7495040759303713,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
|
||||
("D\237a Internacional de las Cooperativas",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
@ -786,11 +803,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("1K or 1M in multipliable form",
|
||||
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}}),
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2876820724517809,
|
||||
@ -802,21 +819,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("time-of-day (latent)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
|
||||
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.3268709406490897),
|
||||
("number (0..15)", -0.36545977349446523)],
|
||||
[("integer (numeric)", -1.3062516534463542),
|
||||
("number (0..15)", -0.3448404862917295)],
|
||||
n = 45},
|
||||
koData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.7578579175523736),
|
||||
("number (0..15)", -0.9694005571881036),
|
||||
("<hundreds> 0..99", -1.4954936530848826),
|
||||
("integer (0-9) with two digits", -1.4954936530848826)],
|
||||
n = 54}}),
|
||||
[("integer (numeric)", -1.5040773967762742),
|
||||
("number (0..15)", -0.7156200364120039),
|
||||
("integer (0-9) with two digits", -1.241713132308783)],
|
||||
n = 42}}),
|
||||
("<hour-of-day> and <relative minutes>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
|
||||
@ -842,19 +858,22 @@ classifiers
|
||||
n = 4}}),
|
||||
("year",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
|
||||
n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.8266785731844679,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.40546510810816444),
|
||||
("1K or 1M in multipliable form", -1.0986122886681098)],
|
||||
n = 7}}),
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1390,27 +1402,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
@ -48,11 +48,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5465437063680699, unseen = -4.219507705176107,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 66},
|
||||
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046, unseen = -3.912023005428146,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 48}}),
|
||||
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
|
||||
("the day before yesterday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -97,63 +97,64 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("intersect by `de`",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.1416505170630268, unseen = -4.875197323201151,
|
||||
ClassData{prior = -0.19290366612449156,
|
||||
unseen = -4.890349128221754,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Miercoleseste|en un <cycle>", -4.174387269895637),
|
||||
[("Miercoleseste|en un <cycle>", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
|
||||
-4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)intersect by `de`",
|
||||
-3.7689221617874726),
|
||||
("daymonth", -1.8230120127321594),
|
||||
("monthyear", -3.7689221617874726),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.174387269895637),
|
||||
("Marteseste|en un <cycle>", -4.174387269895637),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <time>Marzo", -3.7689221617874726),
|
||||
-3.784189633918261),
|
||||
("daymonth", -1.8382794848629478),
|
||||
("monthyear", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
|
||||
("Marteseste|en un <cycle>", -4.189654742026425),
|
||||
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <time>Marzo", -3.784189633918261),
|
||||
("el <day-of-month> (non ordinal)Septiembre",
|
||||
-4.174387269895637),
|
||||
("Miercolesel proximo <cycle> ", -4.174387269895637),
|
||||
("Luneseste|en un <cycle>", -4.174387269895637),
|
||||
("dayyear", -2.159484249353372),
|
||||
("dd-dd <month>(interval)year", -4.174387269895637),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.174387269895637),
|
||||
("el <time>year", -3.7689221617874726),
|
||||
("Septiembreyear", -4.174387269895637),
|
||||
("el <time>la <cycle> pasado", -4.174387269895637),
|
||||
("day of month (1st)Marzo", -3.258096538021482),
|
||||
("el <day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("el <time>este|en un <cycle>", -3.7689221617874726),
|
||||
("Mayoyear", -4.174387269895637),
|
||||
("<day-of-month> de <named-month>year", -3.7689221617874726),
|
||||
("two time tokens separated by \",\"year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("Miercolesel proximo <cycle> ", -4.189654742026425),
|
||||
("Luneseste|en un <cycle>", -4.189654742026425),
|
||||
("dayyear", -2.1102132003465894),
|
||||
("dd-dd <month>(interval)year", -4.189654742026425),
|
||||
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
|
||||
("el <time>year", -3.784189633918261),
|
||||
("Septiembreyear", -4.189654742026425),
|
||||
("el <time>la <cycle> pasado", -4.189654742026425),
|
||||
("day of month (1st)Marzo", -3.2733640101522705),
|
||||
("el <day-of-month> de <named-month>year", -3.784189633918261),
|
||||
("el <time>este|en un <cycle>", -3.784189633918261),
|
||||
("Mayoyear", -4.189654742026425),
|
||||
("<day-of-month> de <named-month>year", -3.4965075614664802),
|
||||
("two time tokens separated by \",\"year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
|
||||
("two time tokens separated by \",\"intersect by `de`",
|
||||
-4.174387269895637),
|
||||
("dayweek", -2.469639177657212),
|
||||
("intersect by `de`year", -3.481240089335692),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.481240089335692),
|
||||
("Domingola <cycle> pasado", -4.174387269895637),
|
||||
-4.189654742026425),
|
||||
("dayweek", -2.4849066497880004),
|
||||
("intersect by `de`year", -3.4965075614664802),
|
||||
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
|
||||
("Domingola <cycle> pasado", -4.189654742026425),
|
||||
("two time tokens separated by \",\"Septiembre",
|
||||
-4.174387269895637),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.481240089335692)],
|
||||
n = 46},
|
||||
-4.189654742026425),
|
||||
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
|
||||
n = 47},
|
||||
koData =
|
||||
ClassData{prior = -2.0243817644968085, unseen = -3.970291913552122,
|
||||
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Mayoyear (value by adding three composing numbers together)",
|
||||
-3.258096538021482),
|
||||
("monthyear", -2.5649493574615367),
|
||||
("Julioyear", -3.258096538021482),
|
||||
("hourmonth", -2.8526314299133175),
|
||||
("a las <time-of-day>Julio", -3.258096538021482),
|
||||
("dayyear", -2.8526314299133175),
|
||||
("Mayoyear", -3.258096538021482),
|
||||
("<day-of-month> de <named-month>year", -2.8526314299133175),
|
||||
("a las <time-of-day>Enero", -3.258096538021482)],
|
||||
n = 7}}),
|
||||
-3.367295829986474),
|
||||
("monthyear", -2.268683541318364),
|
||||
("Julioyear", -3.367295829986474),
|
||||
("hourmonth", -2.9618307218783095),
|
||||
("a las <time-of-day>Julio", -3.367295829986474),
|
||||
("dayyear", -2.6741486494265287),
|
||||
("Mayoyear", -2.6741486494265287),
|
||||
("<day-of-month> de <named-month>year", -2.6741486494265287),
|
||||
("a las <time-of-day>Enero", -3.367295829986474)],
|
||||
n = 10}}),
|
||||
("n pasados <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.1972245773362196,
|
||||
@ -442,26 +443,26 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("a las <time-of-day>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.770831762064673e-2,
|
||||
unseen = -5.365976015021851,
|
||||
ClassData{prior = -7.320340402329494e-2,
|
||||
unseen = -5.135798437050262,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<hour-of-day> and half", -3.9749978045895347),
|
||||
("<time-of-day> horas", -4.66814498514948),
|
||||
("<hour-of-day> and quarter", -3.751854253275325),
|
||||
("time-of-day (latent)", -1.6477200990051173),
|
||||
("<hour-of-day> and <relative minutes>", -3.56953269648137),
|
||||
("<time-of-day> am|pm", -2.1832383353614793),
|
||||
[("<hour-of-day> and half", -3.7436043538031827),
|
||||
("<time-of-day> horas", -4.436751534363128),
|
||||
("<hour-of-day> and quarter", -3.520460802488973),
|
||||
("time-of-day (latent)", -1.4163266482187657),
|
||||
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
|
||||
("<time-of-day> am|pm", -2.5649493574615367),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
-4.66814498514948),
|
||||
-4.436751534363128),
|
||||
("<hour-of-day> minus quarter (as relative minutes)",
|
||||
-4.2626798770413155),
|
||||
("hour", -1.6000920500158626), ("minute", -1.2669476034873244),
|
||||
-4.0312864262549635),
|
||||
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.2257979497802753)],
|
||||
n = 101},
|
||||
-2.644992065135073)],
|
||||
n = 79},
|
||||
koData =
|
||||
ClassData{prior = -2.8810693652338513,
|
||||
ClassData{prior = -2.6508917872622613,
|
||||
unseen = -3.1780538303479458,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
@ -642,6 +643,23 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<thousands> 0..999",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable form<hundreds> 0..99",
|
||||
-0.2876820724517809)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("1K or 1M in multipliable formbig number 100 to 1K",
|
||||
-0.2876820724517809)],
|
||||
n = 2}}),
|
||||
("now",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.791759469228055,
|
||||
@ -676,13 +694,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number (0..15)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -2.381064869371856e-2,
|
||||
unseen = -4.442651256490317,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 83},
|
||||
ClassData{prior = -0.13858616328614667,
|
||||
unseen = -4.330733340286331,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
|
||||
koData =
|
||||
ClassData{prior = -3.7495040759303713,
|
||||
unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
|
||||
("D\237a Internacional de las Cooperativas",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.0986122886681098,
|
||||
@ -786,11 +803,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("1K or 1M in multipliable form",
|
||||
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}}),
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2876820724517809,
|
||||
@ -802,21 +819,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("time-of-day (latent)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.7884573603642702, unseen = -3.912023005428146,
|
||||
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.3268709406490897),
|
||||
("number (0..15)", -0.36545977349446523)],
|
||||
[("integer (numeric)", -1.3062516534463542),
|
||||
("number (0..15)", -0.3448404862917295)],
|
||||
n = 45},
|
||||
koData =
|
||||
ClassData{prior = -0.6061358035703156, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.7578579175523736),
|
||||
("number (0..15)", -0.9694005571881036),
|
||||
("<hundreds> 0..99", -1.4954936530848826),
|
||||
("integer (0-9) with two digits", -1.4954936530848826)],
|
||||
n = 54}}),
|
||||
[("integer (numeric)", -1.5040773967762742),
|
||||
("number (0..15)", -0.7156200364120039),
|
||||
("integer (0-9) with two digits", -1.241713132308783)],
|
||||
n = 42}}),
|
||||
("<hour-of-day> and <relative minutes>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
|
||||
@ -842,19 +858,22 @@ classifiers
|
||||
n = 4}}),
|
||||
("year",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.15415067982725836)],
|
||||
n = 5},
|
||||
koData =
|
||||
ClassData{prior = -0.5389965007326869,
|
||||
unseen = -2.3025850929940455,
|
||||
ClassData{prior = -0.8266785731844679,
|
||||
unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.40546510810816444),
|
||||
("1K or 1M in multipliable form", -1.0986122886681098)],
|
||||
n = 7}}),
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("<thousands> 0..999", -1.2039728043259361)],
|
||||
n = 7},
|
||||
koData =
|
||||
ClassData{prior = -0.5753641449035618,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.6931471805599453),
|
||||
("<thousands> 0..999", -1.3862943611198906),
|
||||
("1K or 1M in multipliable form", -1.3862943611198906)],
|
||||
n = 9}}),
|
||||
("en <duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.6635616461296463,
|
||||
@ -950,25 +969,24 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.5306282510621704, unseen = -4.983606621708336,
|
||||
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>", -1.798679912072629),
|
||||
("time-of-day (latent)", -4.283586561860629),
|
||||
("hour", -3.8781214537524646), ("minute", -0.742627237823315),
|
||||
[("a las <time-of-day>", -1.7788560643921472),
|
||||
("time-of-day (latent)", -3.6506582412937383),
|
||||
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-1.1265861407105158)],
|
||||
n = 70},
|
||||
-1.1657515915057381)],
|
||||
n = 36},
|
||||
koData =
|
||||
ClassData{prior = -0.8873031950009028,
|
||||
unseen = -4.6443908991413725,
|
||||
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)", -0.99714282850325),
|
||||
("hour", -0.99714282850325), ("minute", -2.069779630768099),
|
||||
[("time-of-day (latent)", -1.1113513144455396),
|
||||
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
-2.069779630768099)],
|
||||
n = 49}}),
|
||||
-1.8044984950054848)],
|
||||
n = 37}}),
|
||||
("n proximas <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.5649493574615367,
|
||||
@ -1067,19 +1085,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hundreds> 0..99",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.15415067982725836,
|
||||
unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number (0..15)number (0..15)", -0.40546510810816444),
|
||||
("integer (numeric)integer (numeric)", -1.3217558399823195)],
|
||||
n = 12},
|
||||
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
|
||||
n = 2},
|
||||
koData =
|
||||
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("big number 100 to 1Knumber (20..90)", -0.5108256237659907)],
|
||||
n = 2}}),
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> minus <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.0794415416798357,
|
||||
@ -1390,27 +1402,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<hour-of-day> <integer> (as relative minutes)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.22738984219566089,
|
||||
unseen = -4.624972813284271,
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
unseen = -3.9889840465642745,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("a las <time-of-day>integer (0-9) with two digits",
|
||||
-2.1302138670532593),
|
||||
("time-of-day (latent)<hundreds> 0..99", -2.0501711593797225),
|
||||
-1.4853852637641216),
|
||||
("time-of-day (latent)integer (0-9) with two digits",
|
||||
-2.0501711593797225),
|
||||
("time-of-day (latent)number (0..15)", -3.9219733362813143),
|
||||
("a las <time-of-day><hundreds> 0..99", -2.1302138670532593),
|
||||
("hour", -0.7439195059333685)],
|
||||
n = 47},
|
||||
-1.405342556090585),
|
||||
("time-of-day (latent)number (0..15)", -3.2771447329921766),
|
||||
("hour", -0.7514160886839211)],
|
||||
n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.5926307941177191,
|
||||
unseen = -3.4657359027997265,
|
||||
ClassData{prior = -1.0986122886681098,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("time-of-day (latent)integer (numeric)", -2.0476928433652555),
|
||||
("time-of-day (latent)number (0..15)", -1.1314021114911006),
|
||||
("hour", -0.8690378470236094)],
|
||||
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
|
||||
("time-of-day (latent)number (0..15)", -1.0647107369924282),
|
||||
("hour", -0.8023464725249373)],
|
||||
n = 12}}),
|
||||
("integer (0-9) with two digits",
|
||||
Classifier{okData =
|
||||
|
||||
Loading…
Reference in New Issue
Block a user