module Duckling.Ranking.Classifiers.PL_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("five",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("Thursday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = 0.5997731097824868, unseen = 4.875197323201151,
likelihoods = HashMap.fromList [("", 0.0)], n = 129},
koData =
ClassData{prior = 0.7961464200320919, unseen = 4.68213122712422,
likelihoods = HashMap.fromList [("", 0.0)], n = 106}}),
("exactly <time-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 1.3862943611198906),
("<integer> (latent time-of-day)", 1.791759469228055),
("hour", 0.8754687373538999),
("<time-of-day> popo\322udniu/wieczorem/w nocy",
1.791759469228055)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<cycle> before <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("dayday", 0.6931471805599453),
("day (grain)yesterday", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Father's Day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<ordinal> <cycle> <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("third ordinalday (grain)October", 2.5257286443082556),
("daymonth", 2.120263536200091),
("quarteryear", 2.5257286443082556),
("third ordinalday (grain)on <date>", 2.5257286443082556),
("weekmonth", 1.4271163556401458),
("ordinal (digits)quarter (grain)year", 2.5257286443082556),
("first ordinalweek (grain)intersect", 2.120263536200091),
("first ordinalweek (grain)October", 2.5257286443082556),
("first ordinalweek (grain)on <date>", 2.120263536200091)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> <part-of-day>",
Classifier{okData =
ClassData{prior = 0.8038127484474648, unseen = 4.919980925828125,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)after <time-of-day>", 3.8140425970679424),
("dayhour", 2.966744736680739),
("Wednesdayevening|night", 4.219507705176107),
("<ordinal> (as hour)evening|night", 2.5147596129376812),
("<ordinal> (as hour)on <date>", 4.219507705176107),
("yesterdayevening|night", 4.219507705176107),
("hourhour", 1.1990828190317442),
("after <time-of-day>after <time-of-day>", 3.8140425970679424),
("until <time-of-day>morning", 3.8140425970679424),
("until <time-of-day>after <time-of-day>", 4.219507705176107),
("minutehour", 4.219507705176107),
("todayevening|night", 4.219507705176107),
("at <time-of-day>evening|night", 4.219507705176107),
("intersecton <date>", 4.219507705176107),
("<integer> (latent time-of-day)this <part-of-day>",
4.219507705176107),
("hh:mmon <date>", 4.219507705176107),
("<integer> (latent time-of-day)morning", 4.219507705176107),
("at <time-of-day>on <date>", 4.219507705176107),
("intersectmorning", 2.966744736680739),
("<integer> (latent time-of-day)evening|night",
2.966744736680739),
("from <datetime> - <datetime> (interval)morning",
4.219507705176107),
("from <time-of-day> - <time-of-day> (interval)morning",
4.219507705176107),
("Mondaymorning", 4.219507705176107),
("on <date>morning", 4.219507705176107),
("at <time-of-day>morning", 3.8140425970679424),
("tomorrowevening|night", 3.8140425970679424)],
n = 47},
koData =
ClassData{prior = 0.593517339611104, unseen = 5.0689042022202315,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)after <time-of-day>", 4.3694478524670215),
("dayhour", 2.018072595303544),
("yearhour", 2.0668627594729756),
("year (latent)on <date>", 4.3694478524670215),
("<day-of-month> (ordinal)on <date>", 4.3694478524670215),
("<time-of-day> - <time-of-day> (interval)morning",
4.3694478524670215),
("<day-of-month> (ordinal)evening|night", 2.6646997602285962),
("by the end of <time>morning", 4.3694478524670215),
("year (latent)evening|night", 3.1166848839716534),
("hourhour", 2.423537703411708),
("after <time-of-day>after <time-of-day>", 3.963982744358857),
("<day-of-month> (ordinal)morning", 3.963982744358857),
("<day-of-month> (ordinal)after <time-of-day>",
3.270835563798912),
("until <time-of-day>morning", 4.3694478524670215),
("about <time-of-day>after <time-of-day>", 4.3694478524670215),
("by <time>morning", 4.3694478524670215),
("<integer> (latent time-of-day)after <time-of-day>",
3.963982744358857),
("<integer> (latent time-of-day)morning", 3.270835563798912),
("secondhour", 3.1166848839716534),
("intersectmorning", 3.270835563798912),
("year (latent)morning", 2.6646997602285962),
("year (latent)after <time-of-day>", 3.963982744358857),
("at <time-of-day>after <time-of-day>", 4.3694478524670215)],
n = 58}}),
("today",
Classifier{okData =
ClassData{prior = 0.2876820724517809,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = 1.3862943611198906,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("mm/dd",
Classifier{okData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("at <time-of-day>",
Classifier{okData =
ClassData{prior = 0.13580154115906176,
unseen = 4.787491742782046,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 1.4832866271072003),
("<integer> (latent time-of-day)", 2.381228220313159),
("about <time-of-day>", 4.085976312551584),
("hh:mm", 3.6805112044434196),
("<time-of-day> rano", 2.987364023883474),
("hour", 0.827879774530102),
("<time-of-day> popo\322udniu/wieczorem/w nocy",
2.2942168433235293),
("minute", 3.169685580677429)],
n = 55},
koData =
ClassData{prior = 2.063693184711697, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 1.8325814637483102),
("<integer> (latent time-of-day)", 1.8325814637483102),
("relative minutes after|past <integer> (hour-of-day)",
2.5257286443082556),
("hour", 1.1394342831883648),
("<time-of-day> popo\322udniu/wieczorem/w nocy",
2.5257286443082556),
("minute", 2.5257286443082556)],
n = 8}}),
("absorption of , after named day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.970291913552122,
likelihoods =
HashMap.fromList
[("Wednesday", 2.159484249353372),
("Saturday", 3.258096538021482),
("Monday", 1.754019141245208), ("Friday", 2.5649493574615367),
("day", 0.7731898882334817), ("Sunday", 2.005333569526114)],
n = 23},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("September",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("11th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("on <date>",
Classifier{okData =
ClassData{prior = 7.79615414697118e-2,
unseen = 4.543294782270004,
likelihoods =
HashMap.fromList
[("week", 2.9231615807191553),
("Thursday", 3.4339872044851463),
("<time> <part-of-day>", 3.8394523125933104),
("September", 3.4339872044851463),
("October", 2.5866893440979424),
("intersect", 2.0476928433652555),
("Saturday", 3.4339872044851463),
("next <cycle>", 3.146305132033365),
("half to|till|before <integer> (hour-of-day)",
3.8394523125933104),
("day", 2.740840023925201), ("afternoon", 3.146305132033365),
("this <cycle>", 2.9231615807191553),
("year", 3.146305132033365), ("March", 3.8394523125933104),
("hour", 2.3353749158170367), ("month", 1.6993861490970399),
("minute", 3.8394523125933104),
("this <time>", 3.8394523125933104)],
n = 37},
koData =
ClassData{prior = 2.5902671654458267, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("noon", 1.8325814637483102), ("hour", 1.8325814637483102)],
n = 3}}),
("8th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("October",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.772588722239781,
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("month (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> o'clock",
Classifier{okData =
ClassData{prior = 0.3184537311185346, unseen = 2.995732273553991,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 0.8649974374866046),
("<integer> (latent time-of-day)", 2.2512917986064953),
("hour", 0.7472144018302211)],
n = 8},
koData =
ClassData{prior = 1.2992829841302609,
unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 1.5040773967762742),
("<integer> (latent time-of-day)", 1.0986122886681098),
("hour", 0.8109302162163288)],
n = 3}}),
("on a named-day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("Thursday", 1.2992829841302609),
("Saturday", 1.2992829841302609),
("day", 0.7884573603642702)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("nth <time> <time>",
Classifier{okData =
ClassData{prior = 0.4989911661189879,
unseen = 3.9889840465642745,
likelihoods =
HashMap.fromList
[("third ordinalTuesdayon <date>", 3.2771447329921766),
("daymonth", 1.4853852637641216),
("dayyear", 2.0243817644968085),
("second ordinalWednesdayon <date>", 3.2771447329921766),
("first ordinalWednesdayintersect", 2.871679624884012),
("first ordinalWednesdayon <date>", 3.2771447329921766),
("second ordinalWednesdayintersect", 2.871679624884012),
("third ordinalintersectyear", 2.871679624884012),
("first ordinalTuesdayon <date>", 3.2771447329921766),
("first ordinalTuesdayOctober", 3.2771447329921766),
("first ordinalintersectyear", 2.871679624884012),
("third ordinalTuesdayintersect", 2.871679624884012),
("second ordinalintersectyear", 2.871679624884012)],
n = 17},
koData =
ClassData{prior = 0.9343092373768334,
unseen = 3.7376696182833684,
likelihoods =
HashMap.fromList
[("third ordinalTuesdaySeptember", 3.0204248861443626),
("third ordinalTuesdayon <date>", 3.0204248861443626),
("daymonth", 1.7676619176489945),
("14th ordinalApril<integer> (latent time-of-day)",
2.6149597780361984),
("monthhour", 1.9218125974762528),
("second ordinalWednesdayon <date>", 3.0204248861443626),
("first ordinalWednesdayon <date>", 3.0204248861443626),
("ordinal (digits)April<integer> (latent time-of-day)",
2.327277705584417),
("second ordinalWednesdayOctober", 3.0204248861443626),
("first ordinalWednesdayOctober", 3.0204248861443626)],
n = 11}}),
("Wednesday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.9444389791664407,
likelihoods = HashMap.fromList [("", 0.0)], n = 17},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<ordinal> (as hour)",
Classifier{okData =
ClassData{prior = 2.985296314968116e-2,
unseen = 4.454347296253507,
likelihoods =
HashMap.fromList
[("11th ordinal", 3.056356895370426),
("8th ordinal", 3.3440389678222067),
("21st ordinal no space", 3.7495040759303713),
("20th ordinal", 3.7495040759303713),
("third ordinal", 1.8035939268750578),
("16th ordinal", 3.3440389678222067),
("18th ordinal", 3.3440389678222067),
("fifth ordinal", 3.7495040759303713),
("seventh ordinal", 3.3440389678222067),
("19th ordinal", 3.3440389678222067),
("21-29th ordinal", 3.3440389678222067),
("sixth ordinal", 3.3440389678222067),
("15th ordinal", 3.3440389678222067),
("second ordinal", 2.1400661634962708),
("ordinal (digits)", 2.3632097148104805),
("10th ordinal", 2.496741107435003),
("9th ordinal", 2.3632097148104805),
("first ordinal", 3.7495040759303713),
("23rd ordinal no space", 3.7495040759303713)],
n = 66},
koData =
ClassData{prior = 3.5263605246161616,
unseen = 3.0910424533583156,
likelihoods =
HashMap.fromList
[("20th ordinal", 2.3513752571634776),
("first ordinal", 2.3513752571634776)],
n = 2}}),
("July",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hour (grain)",
Classifier{okData =
ClassData{prior = 0.8472978603872037,
unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = 0.5596157879354228, unseen = 2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12}}),
("21st ordinal no space",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<ordinal> quarter",
Classifier{okData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("quarter", 0.916290731874155),
("third ordinalquarter (grain)", 0.916290731874155)],
n = 1},
koData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", 0.916290731874155),
("quarter", 0.916290731874155)],
n = 1}}),
("intersect",
Classifier{okData =
ClassData{prior = 0.3189150921417123, unseen = 6.280395838960195,
likelihoods =
HashMap.fromList
[("Tuesdayon <date>", 4.669083511731744),
("Sundaylast <cycle>", 5.179909135497735),
("Fridaynext <cycle>", 5.585374243605899),
("<datetime> - <datetime> (interval)on <date>",
5.179909135497735),
("mm/dd<time-of-day> popo\322udniu/wieczorem/w nocy",
5.585374243605899),
("<hour-of-day> - <hour-of-day> (interval)on <date>",
5.179909135497735),
("<time-of-day> - <time-of-day> (interval)on <date>",
5.179909135497735),
("hourday", 3.7936147743778443),
("dayhour", 2.7231733626764307),
("daymonth", 3.7936147743778443),
("<time-of-day> popo\322udniu/wieczorem/w nocyabsorption of , after named day",
4.669083511731744),
("TuesdaySeptember", 5.585374243605899),
("monthyear", 3.100467593817899),
("Wednesdayintersect", 5.179909135497735),
("from <hour-of-day> - <hour-of-day> (interval)on a named-day",
5.585374243605899),
("from <time-of-day> - <time-of-day> (interval)on a named-day",
5.585374243605899),
("intersecthh:mm", 5.585374243605899),
("from <datetime> - <datetime> (interval)on a named-day",
5.585374243605899),
("Wednesdaynext <cycle>", 5.179909135497735),
("Tuesdaythis <cycle>", 5.585374243605899),
("Saturday<time> <part-of-day>", 5.585374243605899),
("Marchyear", 5.179909135497735),
("Saturdayat <time-of-day>", 5.179909135497735),
("on a named-dayat <time-of-day>", 5.179909135497735),
("at <time-of-day>on a named-day", 5.585374243605899),
("<time> <part-of-day>on a named-day", 5.179909135497735),
("Wednesdayon <date>", 4.48676195493779),
("on a named-day<time> <part-of-day>", 5.585374243605899),
("last <day-of-week> of <time>year", 5.585374243605899),
("today<time> <part-of-day>", 5.585374243605899),
("todayat <time-of-day>", 5.585374243605899),
("on <date>at <time-of-day>", 5.179909135497735),
("dayday", 2.9463169139906404),
("on <date><time> <part-of-day>", 5.585374243605899),
("intersect by \",\"hh:mm", 4.669083511731744),
("mm/ddat <time-of-day>", 4.892227063045954),
("WednesdayOctober", 5.179909135497735),
("last <cycle> <time>year", 4.669083511731744),
("intersect<named-month> <day-of-month> (non ordinal)",
4.892227063045954),
("intersect<day-of-month> (non ordinal) <named-month>",
4.892227063045954),
("dayyear", 3.5704712230636346),
("Wednesday<day-of-month>(ordinal) <named-month>",
5.585374243605899),
("Thursday<time> <part-of-day>", 5.179909135497735),
("<day-of-month>(ordinal) <named-month>year",
5.179909135497735),
("day-after-tomorrow (single-word)at <time-of-day>",
5.585374243605899),
("absorption of , after named day<day-of-month>(ordinal) <named-month>",
4.081296846829625),
("Tuesdaynext <cycle>", 5.585374243605899),
("tomorrow<time-of-day> popo\322udniu/wieczorem/w nocy",
5.585374243605899),
("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
4.199079882486009),
("Thursdayfrom <datetime> - <datetime> (interval)",
4.892227063045954),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
4.892227063045954),
("tomorrowuntil <time-of-day>", 5.179909135497735),
("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
4.081296846829625),
("<time-of-day> popo\322udniu/wieczorem/w nocyintersect by \",\"",
4.669083511731744),
("TuesdayOctober", 5.585374243605899),
("last <day-of-week> <time>year", 5.179909135497735),
("Monday<day-of-month>(ordinal) <named-month>",
5.179909135497735),
("Mondaythis <cycle>", 5.585374243605899),
("<time-of-day> ranoon <date>", 5.179909135497735),
("on <date><time-of-day> rano", 5.585374243605899),
("<time-of-day> popo\322udniu/wieczorem/w nocytomorrow",
5.585374243605899),
("from <time-of-day> - <time-of-day> (interval)on <date>",
5.585374243605899),
("<time-of-day> popo\322udniu/wieczorem/w nocyFriday",
4.669083511731744),
("at <time-of-day>intersect", 5.179909135497735),
("dayminute", 3.975936331171799),
("<time-of-day> ranoon a named-day", 5.179909135497735),
("from <hour-of-day> - <hour-of-day> (interval)on <date>",
5.585374243605899),
("from <datetime> - <datetime> (interval)on <date>",
5.585374243605899),
("intersectyear", 5.179909135497735),
("on a named-day<time-of-day> rano", 5.585374243605899),
("<ordinal> <cycle> of <time>year", 5.585374243605899),
("minuteday", 2.386701126055218),
("absorption of , after named dayintersect",
5.585374243605899),
("Saturday<time-of-day> rano", 5.585374243605899),
("Octoberyear", 3.880626151367474),
("yearhh:mm", 5.585374243605899),
("at <time-of-day>intersect by \",\"", 5.179909135497735),
("absorption of , after named dayintersect by \",\"",
5.179909135497735),
("tomorrowexactly <time-of-day>", 4.892227063045954),
("at <time-of-day>absorption of , after named day",
5.179909135497735),
("Septemberyear", 4.669083511731744),
("at <time-of-day>on <date>", 5.585374243605899),
("on <date>year", 4.199079882486009),
("dayweek", 3.639464094550586),
("Tuesdayin <duration>", 5.585374243605899),
("<time> <part-of-day>on <date>", 5.179909135497735),
("weekyear", 4.332611275110531),
("<ordinal> <cycle> <time>year", 5.179909135497735),
("tomorrowat <time-of-day>", 5.585374243605899),
("tomorrow<time> <part-of-day>", 5.585374243605899),
("at <time-of-day>Friday", 5.179909135497735),
("<time-of-day> popo\322udniu/wieczorem/w nocyintersect",
4.669083511731744),
("<named-month> <day-of-month> (ordinal)year",
5.585374243605899),
("tomorrow<time-of-day> rano", 5.585374243605899),
("<datetime> - <datetime> (interval)on a named-day",
5.179909135497735),
("last <cycle> of <time>year", 5.179909135497735),
("<named-month> <day-of-month> (non ordinal)year",
5.585374243605899),
("<time-of-day> - <time-of-day> (interval)on a named-day",
5.179909135497735),
("<day-of-month> (non ordinal) <named-month>year",
5.179909135497735),
("<hour-of-day> - <hour-of-day> (interval)on a named-day",
5.179909135497735),
("yearminute", 5.585374243605899)],
n = 197},
koData =
ClassData{prior = 1.298053727675531, unseen = 5.662960480135946,
likelihoods =
HashMap.fromList
[("Tuesdayon <date>", 4.966335035199676),
("<time-of-day> ranoby <time>", 4.560869927091511),
("<named-month> <day-of-month> (non ordinal)July",
4.966335035199676),
("Julyrelative minutes to|till|before <integer> (hour-of-day)",
4.966335035199676),
("dayhour", 3.867722746531566),
("July<day-of-month> (non ordinal) <named-month>",
4.966335035199676),
("daymonth", 2.5684397624013053),
("monthday", 4.560869927091511),
("monthyear", 4.050044303325521),
("Wednesdayintersect", 4.560869927091511),
("<time> <part-of-day>until <time-of-day>", 4.560869927091511),
("Marchyear", 4.273187854639731),
("Wednesdayon <date>", 4.966335035199676),
("absorption of , after named dayJuly", 4.966335035199676),
("<time> <part-of-day><time> <part-of-day>",
4.273187854639731),
("mm/ddat <time-of-day>", 4.966335035199676),
("hourhour", 4.050044303325521),
("<time> <part-of-day>by <time>", 4.560869927091511),
("dayyear", 3.713572066704308),
("<time-of-day> ranoby the end of <time>", 4.560869927091511),
("<named-month> <day-of-month> (non ordinal)until <time-of-day>",
4.966335035199676),
("monthminute", 4.966335035199676),
("minutemonth", 4.273187854639731),
("Thursdayfrom <datetime> - <datetime> (interval)",
4.966335035199676),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
4.966335035199676),
("Aprilyear", 4.966335035199676),
("<time-of-day> popo\322udniu/wieczorem/w nocyintersect by \",\"",
4.560869927091511),
("after <time-of-day>at <time-of-day>", 4.966335035199676),
("SundayMarch", 4.966335035199676),
("hh:mmby the end of <time>", 4.966335035199676),
("daysecond", 4.560869927091511),
("<time> <part-of-day>by the end of <time>",
4.560869927091511),
("<time> <part-of-day><time-of-day> rano", 4.966335035199676),
("<time-of-day> rano<time> <part-of-day>", 4.560869927091511),
("<named-month> <day-of-month> (non ordinal)August",
4.966335035199676),
("August<day-of-month> (non ordinal) <named-month>",
4.966335035199676),
("at <time-of-day>intersect", 4.966335035199676),
("dayminute", 4.560869927091511),
("<named-month> <day-of-month> (non ordinal)by <time>",
4.966335035199676),
("intersectyear", 3.713572066704308),
("intersectSeptember", 4.273187854639731),
("minuteday", 3.2615869429612507),
("hh:mmon <date>", 4.560869927091511),
("at <time-of-day>intersect by \",\"", 4.966335035199676),
("MondayMarch", 4.966335035199676),
("<named-month> <day-of-month> (non ordinal)by the end of <time>",
4.966335035199676),
("tomorrowexactly <time-of-day>", 4.966335035199676),
("hoursecond", 3.094532858298084),
("absorption of , after named daySeptember",
4.966335035199676),
("hh:mmon a named-day", 4.560869927091511),
("Sundayon <date>", 4.560869927091511),
("absorption of , after named dayFebruary", 3.867722746531566),
("hh:mmby <time>", 4.966335035199676),
("tomorrowat <time-of-day>", 4.966335035199676),
("minutesecond", 4.560869927091511),
("<time-of-day> popo\322udniu/wieczorem/w nocyintersect",
4.560869927091511),
("Tuesdayintersect", 4.560869927091511),
("Sundayintersect", 4.560869927091511)],
n = 74}}),
("half after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("twenty",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("20th ordinal",
Classifier{okData =
ClassData{prior = 1.0986122886681098,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = 0.40546510810816444,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("a few",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<ordinal> <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("third ordinalday (grain)October", 1.7047480922384253),
("daymonth", 1.7047480922384253),
("weekmonth", 1.2992829841302609),
("first ordinalweek (grain)intersect", 1.7047480922384253),
("first ordinalweek (grain)October", 1.7047480922384253)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("season",
Classifier{okData =
ClassData{prior = 1.0116009116784799, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = 0.45198512374305727,
unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
("year (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.6931471805599453, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("minuteminute", 1.6739764335716716),
("<time-of-day> rano<time-of-day> rano", 2.0794415416798357),
("hh:mmhh:mm", 1.6739764335716716),
("hourhour", 1.6739764335716716),
("<time-of-day> rano<integer> (latent time-of-day)",
2.0794415416798357)],
n = 4},
koData =
ClassData{prior = 0.6931471805599453, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("minuteminute", 1.6739764335716716),
("minutehour", 1.6739764335716716),
("hh:mmintersect", 1.6739764335716716),
("hh:mm<integer> (latent time-of-day)", 1.6739764335716716)],
n = 4}}),
("Saturday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <hour-of-day> - <hour-of-day> (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("minuteminute", 0.6931471805599453),
("hh:mmhh:mm", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("next <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("week", 1.491654876777717),
("month (grain)", 2.995732273553991),
("year (grain)", 2.5902671654458267),
("second", 2.995732273553991),
("week (grain)", 1.491654876777717),
("quarter", 2.3025850929940455), ("year", 2.5902671654458267),
("second (grain)", 2.995732273553991),
("month", 2.995732273553991),
("quarter (grain)", 2.3025850929940455)],
n = 15},
koData =
ClassData{prior = infinity, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [], n = 0}}),
("number.number hours",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("minuteminute", 1.6094379124341003),
("<time-of-day> rano<time-of-day> rano", 2.0149030205422647),
("hh:mmhh:mm", 1.6094379124341003),
("hourhour", 1.6094379124341003),
("<time-of-day> rano<integer> (latent time-of-day)",
2.0149030205422647)],
n = 4},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("minutehour", 1.2992829841302609),
("hh:mm<integer> (latent time-of-day)", 1.2992829841302609)],
n = 2}}),
("integer 21..99",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods =
HashMap.fromList [("integer (numeric)integer (numeric)", 0.0)],
n = 1}}),
("yyyy-mm-dd",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("year (latent)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("integer (numeric)", 8.004270767353637e-2),
("one", 2.5649493574615367)],
n = 24}}),
("mm/dd/yyyy",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("evening|night",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.1780538303479458,
likelihoods = HashMap.fromList [("", 0.0)], n = 22},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("third ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods = HashMap.fromList [("", 0.0)], n = 19},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("Monday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.995732273553991,
likelihoods = HashMap.fromList [("", 0.0)], n = 18},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("yesterday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<ordinal> quarter <year>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("quarteryear", 0.6931471805599453),
("ordinal (digits)quarter (grain)year", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("hh:mm:ss",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("16th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("quarter to|till|before <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 1.791759469228055),
("<integer> (latent time-of-day)", 1.791759469228055),
("noon", 1.3862943611198906), ("hour", 0.8754687373538999)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> (latent time-of-day)",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 3.7376696182833684,
likelihoods =
HashMap.fromList
[("integer (numeric)", 7.598590697792199e-2),
("fifteen", 3.0204248861443626)],
n = 38},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.1466034741918754),
("one", 2.3978952727983707)],
n = 19}}),
("nth <time> of <time>",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("daymonth", 1.1631508098056809),
("first ordinalWednesdayintersect", 2.0794415416798357),
("second ordinalWednesdayintersect", 2.0794415416798357),
("first ordinalTuesdayOctober", 2.0794415416798357),
("third ordinalTuesdayintersect", 2.0794415416798357)],
n = 4},
koData =
ClassData{prior = 0.8472978603872037, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("third ordinalTuesdaySeptember", 1.9459101490553135),
("daymonth", 1.252762968495368),
("second ordinalWednesdayOctober", 1.9459101490553135),
("first ordinalWednesdayOctober", 1.9459101490553135)],
n = 3}}),
("April",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("18th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("week (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.784189633918261,
likelihoods = HashMap.fromList [("", 0.0)], n = 42},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("fifth ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("valentine's day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("last <day-of-week> <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("daymonth", 0.8873031950009028),
("SundayMarch", 2.1400661634962708),
("MondayMarch", 2.1400661634962708),
("Sundayon <date>", 1.7346010553881064),
("Sundayintersect", 1.7346010553881064)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("now",
Classifier{okData =
ClassData{prior = 0.5108256237659907,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = 0.916290731874155, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("<unit-of-duration> as a duration",
Classifier{okData =
ClassData{prior = 2.1226137135450447,
unseen = 3.9318256327243257,
likelihoods =
HashMap.fromList
[("week", 1.7147984280919266),
("hour (grain)", 2.8134107167600364),
("second", 2.5257286443082556),
("week (grain)", 1.7147984280919266),
("day", 2.5257286443082556),
("minute (grain)", 3.2188758248682006),
("second (grain)", 2.5257286443082556),
("hour", 2.8134107167600364), ("minute", 3.2188758248682006),
("day (grain)", 2.5257286443082556)],
n = 17},
koData =
ClassData{prior = 0.12751332029895956, unseen = 5.58724865840025,
likelihoods =
HashMap.fromList
[("week", 2.0281482472922856),
("month (grain)", 3.0985896589936988),
("hour (grain)", 2.5877640352277083),
("year (grain)", 2.750282964725483),
("second", 3.9740583963475986),
("week (grain)", 2.0281482472922856),
("day", 2.4480020928525494), ("quarter", 3.3862717314454795),
("minute (grain)", 3.0985896589936988),
("year", 2.750282964725483),
("second (grain)", 3.9740583963475986),
("hour", 2.5877640352277083), ("month", 3.0985896589936988),
("quarter (grain)", 3.3862717314454795),
("minute", 3.0985896589936988),
("day (grain)", 2.4480020928525494)],
n = 125}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("on <date>", 1.5040773967762742),
("evening|night", 1.0986122886681098),
("hour", 0.8109302162163288)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("christmas eve",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month>(ordinal) <named-month>",
Classifier{okData =
ClassData{prior = 0.19671029424605427, unseen = 4.04305126783455,
likelihoods =
HashMap.fromList
[("15th ordinalFebruary", 2.9267394020670396),
("8th ordinalAugust", 2.9267394020670396),
("13th ordinalFebruary", 3.332204510175204),
("first ordinalMarch", 2.9267394020670396),
("ordinal (digits)February", 1.540445040947149),
("third ordinalMarch", 3.332204510175204),
("month", 0.8472978603872037),
("ordinal (digits)March", 2.4159137783010487)],
n = 23},
koData =
ClassData{prior = 1.7227665977411035, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("14th ordinalApril", 1.8971199848858813),
("ordinal (digits)April", 1.6094379124341003),
("month", 1.2039728043259361)],
n = 5}}),
("<duration> hence",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("week", 1.3121863889661687),
("<unit-of-duration> as a duration", 1.8718021769015913),
("day", 2.159484249353372), ("year", 2.5649493574615367),
("<integer> <unit-of-duration>", 1.1786549963416462),
("month", 2.5649493574615367)],
n = 10},
koData =
ClassData{prior = 1.0986122886681098, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("week", 2.0794415416798357),
("<unit-of-duration> as a duration", 0.9808292530117262),
("day", 1.6739764335716716), ("year", 2.0794415416798357),
("month", 2.0794415416798357)],
n = 5}}),
("numbers prefix with -, negative or minus",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 11}}),
("Friday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("new year's eve",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("tomorrow",
Classifier{okData =
ClassData{prior = 0.2876820724517809,
unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = 1.3862943611198906,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("<cycle> after <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("day (grain)tomorrow", 0.6931471805599453),
("dayday", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Mother's Day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("half to|till|before <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> after next",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("Friday", 1.3862943611198906), ("day", 1.3862943611198906),
("March", 1.3862943611198906), ("month", 1.3862943611198906)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("two",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("by <time>",
Classifier{okData =
ClassData{prior = infinity, unseen = 2.4849066497880004,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.58351893845611,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 2.456735772821304),
("year (latent)", 2.8622008809294686),
("<integer> (latent time-of-day)", 1.9459101490553135),
("day", 2.456735772821304), ("year", 2.8622008809294686),
("hh:mm", 2.8622008809294686),
("<day-of-month> (ordinal)", 2.456735772821304),
("noon", 2.8622008809294686),
("<time-of-day> rano", 2.8622008809294686),
("hour", 1.3581234841531944), ("minute", 2.8622008809294686)],
n = 12}}),
("seventh ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("half an hour",
Classifier{okData =
ClassData{prior = 0.2876820724517809,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = 1.3862943611198906,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("one",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("Sunday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods = HashMap.fromList [("", 0.0)], n = 19},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("afternoon",
Classifier{okData =
ClassData{prior = 0.5108256237659907,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = 0.916290731874155, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("<duration> from now",
Classifier{okData =
ClassData{prior = 0.40546510810816444, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("second", 1.9459101490553135),
("<unit-of-duration> as a duration", 1.540445040947149),
("day", 1.9459101490553135), ("year", 1.9459101490553135),
("<integer> <unit-of-duration>", 1.540445040947149),
("minute", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("<unit-of-duration> as a duration", 1.2039728043259361),
("year", 1.6094379124341003), ("minute", 1.6094379124341003)],
n = 2}}),
("February",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.4657359027997265,
likelihoods = HashMap.fromList [("", 0.0)], n = 30},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("this <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.8066624897703196,
likelihoods =
HashMap.fromList
[("week", 1.5869650565820417),
("year (grain)", 1.9924301646902063),
("week (grain)", 1.5869650565820417),
("day", 2.6855773452501515), ("quarter", 2.3978952727983707),
("year", 1.9924301646902063),
("quarter (grain)", 2.3978952727983707),
("day (grain)", 2.6855773452501515)],
n = 18},
koData =
ClassData{prior = infinity, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("minute (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("last <cycle> <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.367295829986474,
likelihoods =
HashMap.fromList
[("day (grain)October", 2.639057329615259),
("daymonth", 1.540445040947149),
("day (grain)intersect", 2.2335922215070942),
("day (grain)on <date>", 2.2335922215070942),
("weekmonth", 1.540445040947149),
("week (grain)intersect", 2.2335922215070942),
("week (grain)on <date>", 2.2335922215070942),
("week (grain)September", 2.639057329615259)],
n = 10},
koData =
ClassData{prior = infinity, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("about <time-of-day>",
Classifier{okData =
ClassData{prior = 0.11778303565638351,
unseen = 3.1780538303479458,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 2.4423470353692043),
("<ordinal> (as hour)", 1.5260563034950494),
("<integer> (latent time-of-day)", 2.03688192726104),
("hour", 0.9382696385929302),
("<time-of-day> popo\322udniu/wieczorem/w nocy",
2.4423470353692043)],
n = 8},
koData =
ClassData{prior = 2.1972245773362196,
unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("relative minutes after|past <integer> (hour-of-day)",
1.5040773967762742),
("minute", 1.5040773967762742)],
n = 1}}),
("year",
Classifier{okData =
ClassData{prior = 0.14842000511827333,
unseen = 3.295836866004329,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 25},
koData =
ClassData{prior = 1.9810014688665833, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 4}}),
("last <day-of-week> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("daymonth", 0.8472978603872037),
("SundayMarch", 1.252762968495368),
("Sundayintersect", 1.252762968495368)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.7091475219063865, unseen = 4.59511985013459,
likelihoods =
HashMap.fromList
[("week", 2.2823823856765264),
("threemonth (grain)", 3.4863551900024623),
("fifteenminute (grain)", 3.891820298110627),
("a fewhour (grain)", 3.891820298110627),
("integer (numeric)day (grain)", 2.793208009442517),
("twoweek (grain)", 3.891820298110627),
("fiveday (grain)", 3.891820298110627),
("oneweek (grain)", 3.1986731175506815),
("oneminute (grain)", 3.891820298110627),
("integer (numeric)year (grain)", 3.891820298110627),
("day", 2.505525936990736), ("year", 3.1986731175506815),
("integer (numeric)week (grain)", 3.1986731175506815),
("oneday (grain)", 3.891820298110627),
("hour", 3.1986731175506815), ("month", 3.4863551900024623),
("threeweek (grain)", 3.4863551900024623),
("integer (numeric)minute (grain)", 2.793208009442517),
("minute", 2.505525936990736),
("integer (numeric)hour (grain)", 3.4863551900024623),
("twoyear (grain)", 3.4863551900024623)],
n = 31},
koData =
ClassData{prior = 0.6773988235918061, unseen = 4.61512051684126,
likelihoods =
HashMap.fromList
[("week", 2.8134107167600364),
("threemonth (grain)", 3.912023005428146),
("threehour (grain)", 3.912023005428146),
("integer (numeric)day (grain)", 3.2188758248682006),
("twoweek (grain)", 3.912023005428146),
("twominute (grain)", 3.912023005428146),
("second", 2.995732273553991),
("threeday (grain)", 3.912023005428146),
("threeyear (grain)", 3.912023005428146),
("integer (numeric)second (grain)", 3.506557897319982),
("twomonth (grain)", 3.912023005428146),
("onehour (grain)", 3.912023005428146),
("integer (numeric)year (grain)", 3.506557897319982),
("threesecond (grain)", 3.912023005428146),
("day", 2.659260036932778), ("year", 2.995732273553991),
("threeminute (grain)", 3.912023005428146),
("integer (numeric)week (grain)", 3.2188758248682006),
("twoday (grain)", 3.912023005428146),
("hour", 2.659260036932778), ("month", 3.2188758248682006),
("threeweek (grain)", 3.912023005428146),
("integer (numeric)minute (grain)", 3.506557897319982),
("a fewday (grain)", 3.912023005428146),
("integer (numeric)month (grain)", 3.912023005428146),
("minute", 2.995732273553991),
("twosecond (grain)", 3.912023005428146),
("integer (numeric)hour (grain)", 3.2188758248682006),
("fifteenhour (grain)", 3.912023005428146),
("twoyear (grain)", 3.912023005428146)],
n = 32}}),
("19th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("thanksgiving day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<duration> after <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("dayday", 0.6931471805599453),
("<unit-of-duration> as a durationtomorrow",
0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("relative minutes after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.5108256237659907,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("integer (numeric)<integer> (latent time-of-day)",
1.7047480922384253),
("fifteen<ordinal> (as hour)", 1.7047480922384253),
("hour", 1.0116009116784799),
("integer (numeric)<ordinal> (as hour)", 1.7047480922384253)],
n = 3},
koData =
ClassData{prior = 0.916290731874155, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("integer (numeric)noon", 1.0986122886681098),
("hour", 1.0986122886681098)],
n = 2}}),
("intersect by \",\"",
Classifier{okData =
ClassData{prior = 0.2282586519809802, unseen = 4.727387818712341,
likelihoods =
HashMap.fromList
[("Wednesday<named-month> <day-of-month> (non ordinal)",
4.02535169073515),
("Wednesday<day-of-month> (non ordinal) <named-month>",
3.332204510175204),
("Friday<named-month> <day-of-month> (non ordinal)",
3.619886582626985),
("Friday<day-of-month> (non ordinal) <named-month>",
4.02535169073515),
("intersect by \",\"year", 4.02535169073515),
("dayday", 1.4996230464268938),
("intersect<named-month> <day-of-month> (non ordinal)",
3.332204510175204),
("intersect<day-of-month> (non ordinal) <named-month>",
3.332204510175204),
("dayyear", 3.109060958860994),
("Wednesday<day-of-month>(ordinal) <named-month>",
4.02535169073515),
("<named-month> <day-of-month> (non ordinal)intersect",
4.02535169073515),
("Monday<day-of-month>(ordinal) <named-month>",
3.619886582626985),
("Saturday<day-of-month>(ordinal) <named-month>",
4.02535169073515),
("Fridayintersect", 4.02535169073515),
("intersect by \",\"intersect", 4.02535169073515),
("Sunday<named-month> <day-of-month> (non ordinal)",
4.02535169073515),
("Sunday<day-of-month> (non ordinal) <named-month>",
4.02535169073515),
("dayminute", 2.9267394020670396),
("intersectyear", 4.02535169073515),
("minuteday", 2.772588722239781),
("Sunday<day-of-month>(ordinal) <named-month>",
3.109060958860994),
("intersectintersect", 4.02535169073515),
("Fridayintersect by \",\"", 3.619886582626985),
("Monday<named-month> <day-of-month> (non ordinal)",
3.332204510175204),
("Monday<day-of-month> (non ordinal) <named-month>",
3.332204510175204),
("<named-month> <day-of-month> (non ordinal)year",
3.619886582626985)],
n = 39},
koData =
ClassData{prior = 1.589235205116581, unseen = 4.007333185232471,
likelihoods =
HashMap.fromList
[("daymonth", 1.9095425048844386),
("SundayFebruary", 3.295836866004329),
("FridayJuly", 3.295836866004329),
("FridaySeptember", 3.295836866004329),
("WednesdayFebruary", 3.295836866004329),
("minutemonth", 2.6026896854443837),
("MondayFebruary", 2.6026896854443837),
("intersectSeptember", 2.6026896854443837)],
n = 10}}),
("hh:mm",
Classifier{okData =
ClassData{prior = 4.652001563489282e-2,
unseen = 3.1354942159291497,
likelihoods = HashMap.fromList [("", 0.0)], n = 21},
koData =
ClassData{prior = 3.0910424533583156,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("quarter after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("14th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("21-29th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("second ordinal", 0.6931471805599453),
("first ordinal", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<duration> before <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("dayday", 0.6931471805599453),
("<unit-of-duration> as a durationyesterday",
0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("second (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("13th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("intersect by \"of\", \"from\", \"'s\"",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("Sundaylast <cycle>", 0.6931471805599453),
("dayweek", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<duration> ago",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("week", 1.3121863889661687),
("<unit-of-duration> as a duration", 1.8718021769015913),
("day", 2.159484249353372), ("year", 2.5649493574615367),
("<integer> <unit-of-duration>", 1.1786549963416462),
("month", 2.5649493574615367)],
n = 10},
koData =
ClassData{prior = 1.0986122886681098, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("week", 2.0794415416798357),
("<unit-of-duration> as a duration", 0.9808292530117262),
("day", 1.6739764335716716), ("year", 2.0794415416798357),
("month", 2.0794415416798357)],
n = 5}}),
("last <time>",
Classifier{okData =
ClassData{prior = 1.6094379124341003,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("day", 1.2809338454620642), ("Sunday", 1.791759469228055),
("Tuesday", 1.791759469228055)],
n = 4},
koData =
ClassData{prior = 0.2231435513142097,
unseen = 3.7612001156935624,
likelihoods =
HashMap.fromList
[("<time-of-day> o'clock", 2.639057329615259),
("intersect", 2.3513752571634776),
("year (latent)", 2.128231705849268),
("Monday", 3.044522437723423),
("<integer> (latent time-of-day)", 2.128231705849268),
("day", 1.791759469228055), ("Sunday", 2.639057329615259),
("year", 2.128231705849268), ("hour", 1.791759469228055)],
n = 16}}),
("March",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.995732273553991,
likelihoods = HashMap.fromList [("", 0.0)], n = 18},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("sixth ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = infinity, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.367295829986474,
likelihoods =
HashMap.fromList
[("11th ordinal", 2.2335922215070942),
("8th ordinal", 2.639057329615259),
("third ordinal", 2.2335922215070942),
("16th ordinal", 2.639057329615259),
("second ordinal", 1.7227665977411035),
("ordinal (digits)", 2.2335922215070942),
("10th ordinal", 1.7227665977411035),
("9th ordinal", 1.7227665977411035)],
n = 20}}),
("noon",
Classifier{okData =
ClassData{prior = 1.791759469228055, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = 0.1823215567939546,
unseen = 2.4849066497880004,
likelihoods = HashMap.fromList [("", 0.0)], n = 10}}),
("until <time-of-day>",
Classifier{okData =
ClassData{prior = 0.8873031950009028,
unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 1.9924301646902063),
("<integer> (latent time-of-day)", 1.9924301646902063),
("<time-of-day> rano", 1.9924301646902063),
("hour", 1.0116009116784799),
("<time-of-day> popo\322udniu/wieczorem/w nocy",
2.3978952727983707)],
n = 7},
koData =
ClassData{prior = 0.5306282510621704, unseen = 3.367295829986474,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 2.2335922215070942),
("<integer> (latent time-of-day)", 1.7227665977411035),
("hh:mm", 2.639057329615259), ("noon", 2.2335922215070942),
("<time-of-day> rano", 2.639057329615259),
("hour", 1.0296194171811581), ("minute", 2.639057329615259)],
n = 10}}),
("<integer> and an half hours",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> rano",
Classifier{okData =
ClassData{prior = 0.10008345855698253,
unseen = 3.828641396489095,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 2.0149030205422647),
("<ordinal> (as hour)", 2.70805020110221),
("<integer> (latent time-of-day)", 1.5040773967762742),
("hh:mm", 3.1135153092103742),
("until <time-of-day>", 2.70805020110221),
("hour", 0.8622235106038793), ("minute", 3.1135153092103742)],
n = 19},
koData =
ClassData{prior = 2.3513752571634776,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", 1.7047480922384253),
("until <time-of-day>", 1.7047480922384253),
("hour", 1.2992829841302609)],
n = 2}}),
("after <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("<integer> <unit-of-duration>", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("decimal number",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("next <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("Wednesday", 2.5649493574615367),
("Monday", 2.159484249353372), ("day", 0.9555114450274363),
("March", 2.5649493574615367), ("month", 2.5649493574615367),
("Tuesday", 1.3121863889661687)],
n = 10},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("last <cycle>",
Classifier{okData =
ClassData{prior = 0.2876820724517809,
unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("week", 1.6739764335716716),
("month (grain)", 1.6739764335716716),
("year (grain)", 2.367123614131617),
("week (grain)", 1.6739764335716716),
("year", 2.367123614131617), ("month", 1.6739764335716716)],
n = 12},
koData =
ClassData{prior = 1.3862943611198906, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("week", 1.6739764335716716),
("week (grain)", 1.6739764335716716),
("day", 1.6739764335716716),
("day (grain)", 1.6739764335716716)],
n = 4}}),
("christmas",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("next n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.912023005428146,
likelihoods =
HashMap.fromList
[("week", 2.793208009442517),
("threemonth (grain)", 3.1986731175506815),
("threehour (grain)", 3.1986731175506815),
("integer (numeric)day (grain)", 3.1986731175506815),
("second", 2.793208009442517),
("threeday (grain)", 3.1986731175506815),
("threeyear (grain)", 3.1986731175506815),
("integer (numeric)second (grain)", 3.1986731175506815),
("integer (numeric)year (grain)", 3.1986731175506815),
("threesecond (grain)", 3.1986731175506815),
("day", 2.505525936990736), ("year", 2.793208009442517),
("threeminute (grain)", 3.1986731175506815),
("integer (numeric)week (grain)", 3.1986731175506815),
("hour", 2.793208009442517), ("month", 3.1986731175506815),
("threeweek (grain)", 3.1986731175506815),
("integer (numeric)minute (grain)", 3.1986731175506815),
("a fewday (grain)", 3.1986731175506815),
("minute", 2.793208009442517),
("integer (numeric)hour (grain)", 3.1986731175506815)],
n = 14},
koData =
ClassData{prior = infinity, unseen = 3.0910424533583156,
likelihoods = HashMap.fromList [], n = 0}}),
("15th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("halloween day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("by the end of <time>",
Classifier{okData =
ClassData{prior = infinity, unseen = 2.4849066497880004,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.58351893845611,
likelihoods =
HashMap.fromList
[("<ordinal> (as hour)", 2.456735772821304),
("year (latent)", 2.8622008809294686),
("<integer> (latent time-of-day)", 1.9459101490553135),
("day", 2.456735772821304), ("year", 2.8622008809294686),
("hh:mm", 2.8622008809294686),
("<day-of-month> (ordinal)", 2.456735772821304),
("noon", 2.8622008809294686),
("<time-of-day> rano", 2.8622008809294686),
("hour", 1.3581234841531944), ("minute", 2.8622008809294686)],
n = 12}}),
("in <duration>",
Classifier{okData =
ClassData{prior = 0.11778303565638351, unseen = 4.0943445622221,
likelihoods =
HashMap.fromList
[("week", 2.691243082785829),
("number.number hours", 3.3843902633457743),
("second", 2.9789251552376097),
("<unit-of-duration> as a duration", 1.9980959022258835),
("day", 2.9789251552376097),
("half an hour", 3.3843902633457743),
("<integer> <unit-of-duration>", 1.5125880864441827),
("<integer> and an half hours", 3.3843902633457743),
("hour", 2.2857779746776643), ("minute", 1.5125880864441827),
("about <duration>", 2.9789251552376097)],
n = 24},
koData =
ClassData{prior = 2.1972245773362196, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("week", 1.4469189829363254),
("<unit-of-duration> as a duration", 2.1400661634962708),
("<integer> <unit-of-duration>", 1.7346010553881064)],
n = 3}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 1.041453874828161, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("minuteminute", 1.6094379124341003),
("hh:mmhh:mm", 1.6094379124341003),
("dayday", 2.120263536200091),
("<named-month> <day-of-month> (non ordinal)<named-month> <day-of-month> (non ordinal)",
2.120263536200091)],
n = 6},
koData =
ClassData{prior = 0.4353180712578455, unseen = 3.58351893845611,
likelihoods =
HashMap.fromList
[("<named-month> <day-of-month> (non ordinal)July",
2.8622008809294686),
("daymonth", 2.456735772821304),
("about <time-of-day>noon", 2.8622008809294686),
("minuteminute", 1.7635885922613588),
("<time-of-day> rano<time-of-day> rano", 2.8622008809294686),
("until <time-of-day>noon", 2.8622008809294686),
("hh:mmhh:mm", 2.8622008809294686),
("hourhour", 1.9459101490553135),
("hh:mmintersect", 1.9459101490553135),
("at <time-of-day>noon", 2.8622008809294686),
("<named-month> <day-of-month> (non ordinal)August",
2.8622008809294686)],
n = 11}}),
("Tuesday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.0910424533583156,
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("second ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> popo\322udniu/wieczorem/w nocy",
Classifier{okData =
ClassData{prior = 1.5037877364540559e-2,
unseen = 4.962844630259907,
likelihoods =
HashMap.fromList
[("exactly <time-of-day>", 4.2626798770413155),
("at <time-of-day>", 2.4709204078132605),
("<ordinal> (as hour)", 1.5218398531161146),
("<integer> (latent time-of-day)", 2.01138807843482),
("about <time-of-day>", 4.2626798770413155),
("hh:mm", 3.857214768933151),
("until <time-of-day>", 4.2626798770413155),
("hour", 0.812692331209728), ("minute", 3.3463891451671604),
("after <time-of-day>", 3.857214768933151)],
n = 66},
koData =
ClassData{prior = 4.204692619390966, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 1.791759469228055),
("hour", 1.791759469228055)],
n = 1}}),
("fifteen",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = 1.4469189829363254, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("minuteminute", 1.3862943611198906),
("hh:mmhh:mm", 1.3862943611198906)],
n = 4},
koData =
ClassData{prior = 0.2682639865946794,
unseen = 3.6635616461296463,
likelihoods =
HashMap.fromList
[("about <time-of-day>noon", 2.9444389791664407),
("relative minutes to|till|before <integer> (hour-of-day)<integer> (latent time-of-day)",
2.9444389791664407),
("minuteminute", 2.9444389791664407),
("<time-of-day> rano<time-of-day> rano", 2.9444389791664407),
("until <time-of-day>noon", 2.9444389791664407),
("hh:mmhh:mm", 2.9444389791664407),
("hourhour", 1.6916760106710724),
("minutehour", 1.6916760106710724),
("at <time-of-day>noon", 2.9444389791664407),
("<time-of-day> rano<integer> (latent time-of-day)",
2.9444389791664407),
("until <time-of-day><integer> (latent time-of-day)",
2.9444389791664407),
("hh:mm<integer> (latent time-of-day)", 1.845826690498331)],
n = 13}}),
("<hour-of-day> - <hour-of-day> (interval)",
Classifier{okData =
ClassData{prior = 1.5040773967762742,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("minuteminute", 1.2809338454620642),
("hh:mmhh:mm", 1.2809338454620642)],
n = 4},
koData =
ClassData{prior = 0.25131442828090605,
unseen = 3.6635616461296463,
likelihoods =
HashMap.fromList
[("about <time-of-day>noon", 2.9444389791664407),
("minuteminute", 2.9444389791664407),
("<time-of-day> rano<time-of-day> rano", 2.9444389791664407),
("until <time-of-day>noon", 2.9444389791664407),
("hh:mmhh:mm", 2.9444389791664407),
("hourhour", 0.9985288301111273),
("after <time-of-day>noon", 2.538973871058276),
("at <time-of-day>noon", 2.9444389791664407),
("<ordinal> (as hour)noon", 1.845826690498331),
("<integer> (latent time-of-day)noon", 2.538973871058276)],
n = 14}}),
("last n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.9889840465642745,
likelihoods =
HashMap.fromList
[("week", 2.583997552432231),
("integer (numeric)day (grain)", 2.871679624884012),
("twoweek (grain)", 3.2771447329921766),
("twominute (grain)", 3.2771447329921766),
("second", 2.871679624884012),
("integer (numeric)second (grain)", 3.2771447329921766),
("twomonth (grain)", 3.2771447329921766),
("onehour (grain)", 3.2771447329921766),
("integer (numeric)year (grain)", 3.2771447329921766),
("day", 2.583997552432231), ("year", 2.871679624884012),
("integer (numeric)week (grain)", 2.871679624884012),
("twoday (grain)", 3.2771447329921766),
("hour", 2.871679624884012), ("month", 2.871679624884012),
("integer (numeric)minute (grain)", 3.2771447329921766),
("integer (numeric)month (grain)", 3.2771447329921766),
("minute", 2.871679624884012),
("twosecond (grain)", 3.2771447329921766),
("integer (numeric)hour (grain)", 3.2771447329921766),
("twoyear (grain)", 3.2771447329921766)],
n = 16},
koData =
ClassData{prior = infinity, unseen = 3.0910424533583156,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month> <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 0.3364722366212129, unseen = 3.871201010907891,
likelihoods =
HashMap.fromList
[("Augustinteger (numeric)", 1.9042374526547454),
("Marchinteger (numeric)", 2.463853240590168),
("Aprilinteger (numeric)", 3.1570004211501135),
("month", 0.8056251639866356),
("Februaryinteger (numeric)", 1.9042374526547454),
("Septemberinteger (numeric)", 3.1570004211501135),
("Julyinteger (numeric)", 2.463853240590168)],
n = 20},
koData =
ClassData{prior = 1.252762968495368, unseen = 3.1780538303479458,
likelihoods =
HashMap.fromList
[("Marchinteger (numeric)", 2.4423470353692043),
("Aprilinteger (numeric)", 1.3437347467010947),
("month", 0.9382696385929302),
("Julyinteger (numeric)", 2.03688192726104)],
n = 8}}),
("<day-of-month> (non ordinal) <named-month>",
Classifier{okData =
ClassData{prior = 0.1431008436406733,
unseen = 3.5263605246161616,
likelihoods =
HashMap.fromList
[("integer (numeric)September", 2.803360380906535),
("integer (numeric)April", 2.803360380906535),
("integer (numeric)August", 2.803360380906535),
("integer (numeric)February", 1.1939224684724346),
("month", 0.8574502318512216),
("integer (numeric)March", 2.803360380906535)],
n = 13},
koData =
ClassData{prior = 2.0149030205422647,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("integer (numeric)August", 1.7047480922384253),
("month", 1.2992829841302609),
("integer (numeric)July", 1.7047480922384253)],
n = 2}}),
("this|next <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("Wednesday", 2.3978952727983707),
("Monday", 1.9924301646902063), ("day", 0.7884573603642702),
("Tuesday", 1.1451323043030026)],
n = 9},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("three",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinal (digits)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.4011973816621555,
likelihoods = HashMap.fromList [("", 0.0)], n = 28},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("quarter (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("last <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("day (grain)October", 1.9459101490553135),
("daymonth", 1.540445040947149),
("day (grain)intersect", 1.9459101490553135),
("weekmonth", 1.540445040947149),
("week (grain)intersect", 1.9459101490553135),
("week (grain)September", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month>(ordinal) <named-month> year",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.995732273553991,
likelihoods =
HashMap.fromList
[("14th ordinalApril", 1.845826690498331),
("third ordinalMarch", 2.2512917986064953),
("ordinal (digits)April", 1.55814461804655),
("month", 0.8649974374866046),
("ordinal (digits)March", 2.2512917986064953)],
n = 7},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("morning",
Classifier{okData =
ClassData{prior = 0.7731898882334817,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = 0.6190392084062235,
unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
("relative minutes to|till|before <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("integer (numeric)<integer> (latent time-of-day)",
0.6931471805599453),
("hour", 0.6931471805599453)],
n = 2}}),
("week-end",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("10th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("after <time-of-day>",
Classifier{okData =
ClassData{prior = 1.2367626271489267,
unseen = 3.4011973816621555,
likelihoods =
HashMap.fromList
[("<time> <part-of-day>", 2.268683541318364),
("<ordinal> (as hour)", 2.268683541318364),
("afternoon", 1.9810014688665833),
("hour", 1.0647107369924282),
("<time-of-day> popo\322udniu/wieczorem/w nocy",
2.268683541318364)],
n = 9},
koData =
ClassData{prior = 0.3429447511268303, unseen = 4.02535169073515,
likelihoods =
HashMap.fromList
[("<time> <part-of-day>", 2.908720896564361),
("intersect", 3.3141860046725258),
("tomorrow", 2.3978952727983707), ("day", 2.0614230361771577),
("afternoon", 2.3978952727983707),
("<day-of-month> (ordinal)", 2.908720896564361),
("noon", 1.927891643552635), ("hour", 1.1741198411762548),
("<hour-of-day> - <hour-of-day> (interval)",
2.908720896564361)],
n = 22}}),
("day (grain)",
Classifier{okData =
ClassData{prior = 0.12783337150988489,
unseen = 3.1780538303479458,
likelihoods = HashMap.fromList [("", 0.0)], n = 22},
koData =
ClassData{prior = 2.120263536200091, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("9th ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("first ordinal",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<month> dd-dd (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("July", 0.6931471805599453), ("month", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("about <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("half an hour", 0.6931471805599453),
("minute", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("day-after-tomorrow (single-word)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> <integer> (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("at <time-of-day>fifteen", 1.252762968495368),
("at <time-of-day>twenty", 1.252762968495368),
("hour", 0.8472978603872037)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("23rd ordinal no space",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("this <time>",
Classifier{okData =
ClassData{prior = 0.6286086594223742, unseen = 3.912023005428146,
likelihoods =
HashMap.fromList
[("Thursday", 3.1986731175506815),
("on <date>", 3.1986731175506815),
("Wednesday", 3.1986731175506815),
("season", 2.2823823856765264),
("Saturday", 3.1986731175506815),
("evening|night", 3.1986731175506815),
("Monday", 3.1986731175506815),
("Friday", 3.1986731175506815), ("day", 1.4069136483226263),
("Sunday", 3.1986731175506815), ("hour", 2.1000608288825715),
("Tuesday", 3.1986731175506815),
("week-end", 2.505525936990736)],
n = 16},
koData =
ClassData{prior = 0.7621400520468967, unseen = 3.828641396489095,
likelihoods =
HashMap.fromList
[("on <date>", 3.1135153092103742),
("evening|night", 3.1135153092103742),
("April", 2.70805020110221), ("day", 2.70805020110221),
("February", 1.6094379124341003), ("hour", 2.70805020110221),
("month", 1.4087672169719492),
("<named-month> <day-of-month> (non ordinal)",
2.70805020110221)],
n = 14}}),
("<named-month> <day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("February15th ordinal", 1.791759469228055),
("Marchfirst ordinal", 1.791759469228055),
("month", 0.8754687373538999),
("Marchordinal (digits)", 1.3862943611198906)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("within <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("week", 0.6931471805599453),
("<integer> <unit-of-duration>", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("August",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}})]