packages feed

duckling-0.2.0.0: Duckling/Ranking/Classifiers/PT_XX.hs

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

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

classifiers :: Classifiers
classifiers
  = HashMap.fromList
      [("<cycle> (que vem)",
        Classifier{okData =
                     ClassData{prior = -0.5596157879354228, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.540445040947149),
                                    ("semana (grain)", -1.540445040947149),
                                    ("mes (grain)", -1.9459101490553135),
                                    ("year", -1.9459101490553135),
                                    ("ano (grain)", -1.9459101490553135),
                                    ("month", -1.9459101490553135)],
                               n = 4},
                   koData =
                     ClassData{prior = -0.8472978603872037,
                               unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.791759469228055),
                                    ("semana (grain)", -1.791759469228055),
                                    ("mes (grain)", -1.791759469228055),
                                    ("year", -1.791759469228055),
                                    ("ano (grain)", -1.791759469228055),
                                    ("month", -1.791759469228055)],
                               n = 3}}),
       ("midnight",
        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}}),
       ("S\225bada",
        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}}),
       ("<dim time> da tarde",
        Classifier{okData =
                     ClassData{prior = -0.24686007793152578, unseen = -4.0943445622221,
                               likelihoods =
                                 HashMap.fromList
                                   [("<hour-of-day> and half", -2.468099531471619),
                                    ("time-of-day (latent)", -2.9789251552376097),
                                    ("<hour-of-day> and <relative minutes>", -2.1316272948504063),
                                    ("hour", -2.468099531471619),
                                    ("<hour-of-day> and quinze", -2.468099531471619),
                                    ("minute", -0.9864949905474035),
                                    ("\224s <time-of-day>", -1.7749523509116738)],
                               n = 25},
                   koData =
                     ClassData{prior = -1.5198257537444133,
                               unseen = -3.1780538303479458,
                               likelihoods =
                                 HashMap.fromList
                                   [("year (latent)", -1.3437347467010947),
                                    ("time-of-day (latent)", -2.03688192726104),
                                    ("year", -1.3437347467010947), ("hour", -2.03688192726104)],
                               n = 7}}),
       ("de <year>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.430816798843313,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 82},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<time> timezone",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.252762968495368),
                                    ("hour", -0.8472978603872037),
                                    ("\224s <time-of-day>", -1.252762968495368)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("integer (numeric)",
        Classifier{okData =
                     ClassData{prior = -0.23299584775722143,
                               unseen = -5.318119993844216,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 202},
                   koData =
                     ClassData{prior = -1.5709716316063043, unseen = -4.007333185232471,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 53}}),
       ("the day before yesterday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("hh(:|.|h)mm (time-of-day)",
        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}}),
       ("<named-month|named-day> past",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
                               likelihoods =
                                 HashMap.fromList
                                   [("Ter\231a-feira", -1.5040773967762742),
                                    ("Domingo", -1.0986122886681098), ("day", -0.8109302162163288)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<ordinal> <cycle> <time>",
        Classifier{okData =
                     ClassData{prior = -1.121230377255882, unseen = -5.393627546352362,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -1.4378280112350734),
                                    ("ordinals (1..10)mes (grain)year", -2.61648300757672),
                                    ("ordinals (1..10)trimestre (grain)de <year>",
                                     -1.7781538171722764),
                                    ("quarteryear", -1.4378280112350734),
                                    ("ordinals (1..10)mes (grain)de <year>", -1.8055527913603908),
                                    ("ordinals (11..19)mes (grain)de <year>", -4.695924549256556),
                                    ("ordinals (1..10)trimestre (grain)year", -2.61648300757672)],
                               n = 102},
                   koData =
                     ClassData{prior = -0.39434505706408673,
                               unseen = -6.082218910376446,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -5.3867860145356445),
                                    ("quarterquarter", -1.227902931175973),
                                    ("monthmonth", -1.6491163962522766),
                                    ("ordinals (1..10)mes (grain)<datetime> - <datetime> (interval)",
                                     -2.49641425663948),
                                    ("ordinals (1..10)mes (grain)entre <datetime> e <datetime> (interval)",
                                     -2.5245851336061764),
                                    ("ordinals (1..10)trimestre (grain)intersect",
                                     -2.9888907417372743),
                                    ("ordinals (1..10)mes (grain)de <year>", -5.3867860145356445),
                                    ("ordinals (1..10)trimestre (grain)<datetime> - <datetime> (interval)",
                                     -2.0545815043604407),
                                    ("ordinals (1..10)trimestre (grain)entre <datetime> e <datetime> (interval)",
                                     -2.128689476514163),
                                    ("ordinals (1..10)mes (grain)intersect", -3.37188299399338)],
                               n = 211}}),
       ("Abril",
        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}}),
       ("proximo <cycle> ",
        Classifier{okData =
                     ClassData{prior = -0.4700036292457356,
                               unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.791759469228055),
                                    ("semana (grain)", -1.791759469228055),
                                    ("mes (grain)", -2.1972245773362196),
                                    ("quarter", -2.1972245773362196), ("year", -2.1972245773362196),
                                    ("ano (grain)", -2.1972245773362196),
                                    ("trimestre (grain)", -2.1972245773362196),
                                    ("month", -2.1972245773362196)],
                               n = 5},
                   koData =
                     ClassData{prior = -0.9808292530117262, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.9459101490553135),
                                    ("semana (grain)", -1.9459101490553135),
                                    ("mes (grain)", -1.9459101490553135),
                                    ("year", -1.9459101490553135),
                                    ("ano (grain)", -1.9459101490553135),
                                    ("month", -1.9459101490553135)],
                               n = 3}}),
       ("dd[/-]mm",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Julho",
        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}}),
       ("intersect by `da` or `de`",
        Classifier{okData =
                     ClassData{prior = -1.9568392195875037,
                               unseen = -4.8283137373023015,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -3.028522096376982),
                                    ("<day-of-month> de <named-month>two time tokens separated by \",\"2",
                                     -4.127134385045092),
                                    ("<day-of-month> de <named-month>intersect",
                                     -4.127134385045092),
                                    ("dd-dd <month> de (interval)year", -4.127134385045092),
                                    ("<day-of-month> de <named-month>two time tokens separated by \",\"",
                                     -4.127134385045092),
                                    ("dayday", -3.4339872044851463),
                                    ("Quart-feira<cycle> (que vem)", -4.127134385045092),
                                    ("dayyear", -2.1122313645028266),
                                    ("quarteryear", -4.127134385045092),
                                    ("dd-dd <month>(interval)year", -4.127134385045092),
                                    ("<ordinal> trimestreyear", -4.127134385045092),
                                    ("day of month (1st)Mar\231o", -3.4339872044851463),
                                    ("two time tokens separated by \",\"2year", -3.721669276936927),
                                    ("intersectyear", -4.127134385045092),
                                    ("<day-of-month> de <named-month>year", -2.740840023925201),
                                    ("dia <day-of-month> (non ordinal)Fevereiro",
                                     -3.721669276936927),
                                    ("two time tokens separated by \",\"year", -3.721669276936927),
                                    ("Domingo<cycle> passado", -4.127134385045092),
                                    ("dayweek", -3.4339872044851463),
                                    ("Quart-feiraproximo <cycle> ", -4.127134385045092)],
                               n = 26},
                   koData =
                     ClassData{prior = -0.15234072458201878,
                               unseen = -5.963579343618447,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)<datetime> - <datetime> (interval)",
                                     -4.862393050955164),
                                    ("hourday", -3.1277919955670574),
                                    ("year (latent)Abril", -4.862393050955164),
                                    ("year (latent)Julho", -3.396055982161737),
                                    ("time-of-day (latent)Fevereiro", -4.01509519056796),
                                    ("monthday", -4.574710978503383),
                                    ("monthyear", -3.6584202466292277),
                                    ("yearhour", -3.8815637979434374),
                                    ("entre <datetime> e <datetime> (interval)Julho",
                                     -3.6584202466292277),
                                    ("houryear", -3.3219480100080148),
                                    ("year (latent)Maio", -4.351567427189173),
                                    ("time-of-day (latent)two time tokens separated by \",\"2",
                                     -4.862393050955164),
                                    ("Setembroyear", -4.169245870395218),
                                    ("time-of-day (latent)Setembro", -4.169245870395218),
                                    ("time-of-day (latent)intersect", -3.3219480100080148),
                                    ("year (latent)<time-of-day> <part-of-day>",
                                     -5.267858159063328),
                                    ("\224s <time-of-day>Julho", -4.574710978503383),
                                    ("year (latent)intersect", -4.574710978503383),
                                    ("Setembrointersect", -5.267858159063328),
                                    ("intersect by `da` or `de`two time tokens separated by \",\"",
                                     -5.267858159063328),
                                    ("year (latent)amanh\227 pela <part-of-day>",
                                     -5.267858159063328),
                                    ("hourmonth", -1.7713505975968478),
                                    ("time-of-day (latent)intersect by `da` or `de`",
                                     -3.4760986898352733),
                                    ("monthmonth", -5.267858159063328),
                                    ("Setembrotwo time tokens separated by \",\"2",
                                     -5.267858159063328),
                                    ("year (latent)Fevereiro", -4.01509519056796),
                                    ("time-of-day (latent)Dezembro", -5.267858159063328),
                                    ("dayyear", -5.267858159063328),
                                    ("time-of-day (latent)Julho", -3.563110066824903),
                                    ("time-of-day (latent)Abril", -4.862393050955164),
                                    ("passado <cycle>year", -5.267858159063328),
                                    ("year (latent)<dim time> da manha", -5.267858159063328),
                                    ("time-of-day (latent)Mar\231o", -4.169245870395218),
                                    ("year (latent)Janeiro", -5.267858159063328),
                                    ("year (latent)Dezembro", -5.267858159063328),
                                    ("entre <datetime> e <datetime> (interval)Janeiro",
                                     -5.267858159063328),
                                    ("yearmonth", -2.1998052239297112),
                                    ("two time tokens separated by \",\"2year", -4.862393050955164),
                                    ("Setembrotwo time tokens separated by \",\"",
                                     -5.267858159063328),
                                    ("intersect by `da` or `de`intersect", -5.267858159063328),
                                    ("intersectyear", -5.267858159063328),
                                    ("intersect by `da` or `de`two time tokens separated by \",\"2",
                                     -5.267858159063328),
                                    ("time-of-day (latent)Maio", -4.351567427189173),
                                    ("<day-of-month> de <named-month>year", -5.267858159063328),
                                    ("antes das <time-of-day>Julho", -4.01509519056796),
                                    ("Maioyear", -4.862393050955164),
                                    ("year (latent)Setembro", -4.169245870395218),
                                    ("\224s <time-of-day>Janeiro", -5.267858159063328),
                                    ("two time tokens separated by \",\"year", -4.862393050955164),
                                    ("time-of-day (latent)two time tokens separated by \",\"",
                                     -4.862393050955164),
                                    ("intersect by `da` or `de`year", -3.763780762287054),
                                    ("year (latent)<datetime> - <datetime> (interval)",
                                     -4.862393050955164),
                                    ("yearday", -5.267858159063328),
                                    ("time-of-day (latent)Janeiro", -5.267858159063328),
                                    ("Julhoyear", -5.267858159063328),
                                    ("de <datetime> - <datetime> (interval)Julho",
                                     -5.267858159063328),
                                    ("year (latent)Mar\231o", -4.169245870395218)],
                               n = 158}}),
       ("<hour-of-day> and half",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.1354942159291497,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.4816045409242156),
                                    ("noon", -2.3978952727983707), ("hour", -0.7884573603642702),
                                    ("\224s <time-of-day>", -1.4816045409242156)],
                               n = 9},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("semana (grain)",
        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}}),
       ("two time tokens separated by \",\"",
        Classifier{okData =
                     ClassData{prior = -1.0360919316867756,
                               unseen = -3.6375861597263857,
                               likelihoods =
                                 HashMap.fromList
                                   [("yearSexta-feira", -2.917770732084279),
                                    ("dayday", -1.3083328196501787),
                                    ("de <year>Sexta-feira", -2.917770732084279),
                                    ("Sexta-feiraintersect", -2.512305623976115),
                                    ("intersectSexta-feira", -2.917770732084279),
                                    ("Sexta-feira<day-of-month> de <named-month>",
                                     -2.512305623976115),
                                    ("Sexta-feiraintersect by `da` or `de`", -2.512305623976115),
                                    ("intersect by `da` or `de`Sexta-feira", -2.917770732084279),
                                    ("yearday", -2.512305623976115),
                                    ("Segunda-feira<day-of-month> de <named-month>",
                                     -2.917770732084279)],
                               n = 11},
                   koData =
                     ClassData{prior = -0.4382549309311553, unseen = -4.02535169073515,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourday", -2.3978952727983707),
                                    ("dayhour", -1.5224265354444706),
                                    ("daymonth", -2.6210388241125804),
                                    ("monthday", -2.908720896564361),
                                    ("Segunda-feiraintersect by `da` or `de`", -2.908720896564361),
                                    ("Sexta-feiraintersect", -2.908720896564361),
                                    ("intersectSexta-feira", -2.908720896564361),
                                    ("Sexta-feiraintersect by `da` or `de`", -1.6094379124341003),
                                    ("intersect by `da` or `de`Sexta-feira", -2.3978952727983707)],
                               n = 20}}),
       ("Sexta-feira",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("integer (0..19)",
        Classifier{okData =
                     ClassData{prior = -1.9048194970694474e-2,
                               unseen = -3.9889840465642745,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 52},
                   koData =
                     ClassData{prior = -3.970291913552122, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("desde <month> dd-dd (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)integer (numeric)Julho",
                                     -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<day-of-month> de <named-month>",
        Classifier{okData =
                     ClassData{prior = -0.2682639865946794, unseen = -4.189654742026425,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)Fevereiro", -2.228477120840324),
                                    ("integer (numeric)Mar\231o", -3.0757749812275272),
                                    ("integer (0..19)Maio", -3.0757749812275272),
                                    ("integer (numeric)Abril", -3.481240089335692),
                                    ("integer (numeric)Julho", -3.481240089335692),
                                    ("integer (numeric)Dezembro", -3.481240089335692),
                                    ("integer (numeric)Janeiro", -3.481240089335692),
                                    ("month", -0.878550403891308),
                                    ("integer (0..19)Julho", -3.481240089335692),
                                    ("integer (0..19)Abril", -3.481240089335692),
                                    ("integer (numeric)Maio", -3.0757749812275272),
                                    ("integer (0..19)Mar\231o", -2.7880929087757464),
                                    ("integer (numeric)Setembro", -2.382627800667582)],
                               n = 26},
                   koData =
                     ClassData{prior = -1.4469189829363254,
                               unseen = -3.4011973816621555,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)Julho", -1.1700712526502546),
                                    ("month", -1.1700712526502546)],
                               n = 8}}),
       ("<time-of-day> <part-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.3437715391028245, unseen = -4.61512051684126,
                               likelihoods =
                                 HashMap.fromList
                                   [("<hour-of-day> and quinzeafternoon", -2.995732273553991),
                                    ("<day-of-month> de <named-month>morning", -3.912023005428146),
                                    ("dayhour", -3.2188758248682006),
                                    ("\224s <time-of-day>morning", -3.2188758248682006),
                                    ("hourhour", -1.8325814637483102),
                                    ("<hour-of-day> and halfafternoon", -2.995732273553991),
                                    ("minutehour", -1.5141277326297755),
                                    ("time-of-day (latent)morning", -3.2188758248682006),
                                    ("time-of-day (latent)evening", -3.506557897319982),
                                    ("\224s <time-of-day>afternoon", -2.3025850929940455),
                                    ("dia <day-of-month> de <named-month>morning",
                                     -3.912023005428146),
                                    ("time-of-day (latent)afternoon", -3.506557897319982),
                                    ("<hour-of-day> and <relative minutes>afternoon",
                                     -2.659260036932778),
                                    ("intersectmorning", -3.912023005428146),
                                    ("\224s <time-of-day>evening", -3.506557897319982),
                                    ("intersect by `da` or `de`morning", -3.912023005428146)],
                               n = 39},
                   koData =
                     ClassData{prior = -1.2347444629926898, unseen = -4.007333185232471,
                               likelihoods =
                                 HashMap.fromList
                                   [("yearhour", -1.5040773967762742),
                                    ("monthhour", -2.890371757896165),
                                    ("hourhour", -2.6026896854443837),
                                    ("time-of-day (latent)morning", -3.295836866004329),
                                    ("year (latent)afternoon", -2.1972245773362196),
                                    ("Fevereiromorning", -3.295836866004329),
                                    ("year (latent)evening", -2.890371757896165),
                                    ("time-of-day (latent)afternoon", -2.890371757896165),
                                    ("year (latent)morning", -2.379546134130174),
                                    ("intersect by `da` or `de`morning", -3.295836866004329)],
                               n = 16}}),
       ("de <datetime> - <datetime> (interval)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)time-of-day (latent)",
                                     -0.6931471805599453),
                                    ("hourhour", -0.6931471805599453)],
                               n = 2}}),
       ("Maio",
        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}}),
       ("number (21..29 31..39 .. 91..99)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList [("tens (20..90)integer (0..19)", 0.0)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<ordinal> <cycle> de <time>",
        Classifier{okData =
                     ClassData{prior = -0.916290731874155, unseen = -5.049856007249537,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -1.4325072042750222),
                                    ("ordinals (1..10)mes (grain)year", -1.4599061784631366),
                                    ("ordinals (11..19)mes (grain)year", -4.350277936359301),
                                    ("quarteryear", -1.4325072042750222),
                                    ("ordinals (1..10)trimestre (grain)year", -1.4325072042750222)],
                               n = 72},
                   koData =
                     ClassData{prior = -0.5108256237659907, unseen = -5.429345628954441,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -4.7318028369214575),
                                    ("ordinals (1..10)mes (grain)year", -4.7318028369214575),
                                    ("quarterquarter", -1.2505627475857655),
                                    ("monthmonth", -1.6407603835631415),
                                    ("ordinals (1..10)mes (grain)<datetime> - <datetime> (interval)",
                                     -1.9909628129962564),
                                    ("ordinals (1..10)trimestre (grain)intersect",
                                     -2.4292177439274116),
                                    ("ordinals (1..10)trimestre (grain)<datetime> - <datetime> (interval)",
                                     -1.5963086209923076),
                                    ("ordinals (1..10)mes (grain)intersect", -2.785892687866144)],
                               n = 108}}),
       ("<time-of-day> horas",
        Classifier{okData =
                     ClassData{prior = -0.7731898882334817,
                               unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.5040773967762742),
                                    ("hour", -0.9444616088408514),
                                    ("depois das <time-of-day>", -1.791759469228055),
                                    ("\224s <time-of-day>", -2.1972245773362196)],
                               n = 6},
                   koData =
                     ClassData{prior = -0.6190392084062235, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.2039728043259361),
                                    ("<hour-of-day> and <relative minutes>", -2.3025850929940455),
                                    ("hour", -1.0498221244986778), ("minute", -2.3025850929940455),
                                    ("\224s <time-of-day>", -2.3025850929940455)],
                               n = 7}}),
       ("intersect",
        Classifier{okData =
                     ClassData{prior = -1.281981514494508, unseen = -5.225746673713201,
                               likelihoods =
                                 HashMap.fromList
                                   [("<day-of-month> de <named-month>in the <part-of-day>",
                                     -4.121743536410215),
                                    ("dayhour", -2.4477671028385437),
                                    ("<day-of-month> de <named-month>two time tokens separated by \",\"2",
                                     -4.527208644518379),
                                    ("nowquinze para as <hour-of-day> (as relative minutes)",
                                     -4.527208644518379),
                                    ("Quart-feiraamanh\227 pela <part-of-day>", -4.527208644518379),
                                    ("now\224s <time-of-day>", -4.121743536410215),
                                    ("<day-of-month> de <named-month>intersect",
                                     -4.527208644518379),
                                    ("now<hour-of-day> and 3/4", -4.527208644518379),
                                    ("<day-of-month> de <named-month>two time tokens separated by \",\"",
                                     -4.527208644518379),
                                    ("Segunda-feirain the <part-of-day>", -4.527208644518379),
                                    ("Quart-feira<time-of-day> <part-of-day>", -4.527208644518379),
                                    ("yearSexta-feira", -4.527208644518379),
                                    ("dayday", -3.0231312477421053),
                                    ("hourhour", -4.527208644518379),
                                    ("dayyear", -2.512305623976115),
                                    ("de <year>Sexta-feira", -4.527208644518379),
                                    ("quarteryear", -4.527208644518379),
                                    ("minutehour", -3.2744456760230114),
                                    ("<hour-of-day> and quinzein the <part-of-day>",
                                     -4.121743536410215),
                                    ("intersect by `da` or `de`in the <part-of-day>",
                                     -4.121743536410215),
                                    ("now<hour-of-day> and <relative minutes>", -4.527208644518379),
                                    ("tomorrow<time-of-day> horas", -4.121743536410215),
                                    ("dd-dd <month> de (interval)de <year>", -4.527208644518379),
                                    ("now<integer> para as <hour-of-day> (as relative minutes)",
                                     -4.527208644518379),
                                    ("\224s <time-of-day>in the <part-of-day>", -3.834061463958434),
                                    ("Sexta-feiraintersect", -4.527208644518379),
                                    ("dayminute", -3.2744456760230114),
                                    ("<ordinal> trimestrede <year>", -4.527208644518379),
                                    ("intersectSexta-feira", -4.527208644518379),
                                    ("Sexta-feira<day-of-month> de <named-month>",
                                     -4.527208644518379),
                                    ("dd-dd <month>(interval)de <year>", -4.527208644518379),
                                    ("Sexta-feiraintersect by `da` or `de`", -4.527208644518379),
                                    ("intersect by `da` or `de`Sexta-feira", -4.527208644518379),
                                    ("dia <day-of-month> de <named-month>in the <part-of-day>",
                                     -4.121743536410215),
                                    ("yearday", -4.121743536410215),
                                    ("two time tokens separated by \",\"de <year>",
                                     -4.121743536410215),
                                    ("Quart-feira\224s <time-of-day>", -4.527208644518379),
                                    ("<day-of-month> de <named-month>de <year>",
                                     -3.1409142833984887),
                                    ("Quart-feira<dim time> da manha", -4.527208644518379),
                                    ("tomorrowdepois das <time-of-day>", -4.121743536410215),
                                    ("<hour-of-day> and <relative minutes>in the <part-of-day>",
                                     -4.121743536410215),
                                    ("two time tokens separated by \",\"2de <year>",
                                     -4.121743536410215),
                                    ("intersectde <year>", -4.527208644518379)],
                               n = 53},
                   koData =
                     ClassData{prior = -0.3250197428894252, unseen = -5.87493073085203,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourday", -3.4742225166770453),
                                    ("dayhour", -3.7926762477955798),
                                    ("daymonth", -5.178970608915471),
                                    ("monthday", -4.080358320247361),
                                    ("monthyear", -3.4742225166770453),
                                    ("now\224s <time-of-day>", -4.773505500807306),
                                    ("entre <datetime> e <datetime> (interval)Julho",
                                     -3.56953269648137),
                                    ("houryear", -3.233060459860157),
                                    ("Dezembro\224s <time-of-day>", -5.178970608915471),
                                    ("\224s <time-of-day>Julho", -4.773505500807306),
                                    ("<time-of-day> am|pm<day-of-month> de <named-month>",
                                     -4.485823428355525),
                                    ("Fevereiroin the <part-of-day>", -4.773505500807306),
                                    ("de <year>antes das <time-of-day>", -2.4381305849902697),
                                    ("monthhour", -3.9262076404201025),
                                    ("Setembrointersect", -5.178970608915471),
                                    ("intersect by `da` or `de`two time tokens separated by \",\"",
                                     -5.178970608915471),
                                    ("hourmonth", -3.3071684320138792),
                                    ("Julhode <year>", -5.178970608915471),
                                    ("<time-of-day> am|pmintersect by `da` or `de`",
                                     -4.485823428355525),
                                    ("Setembrotwo time tokens separated by \",\"2",
                                     -5.178970608915471),
                                    ("dayyear", -5.178970608915471),
                                    ("intersect by `da` or `de`\224s <time-of-day>",
                                     -5.178970608915471),
                                    ("passado <cycle>year", -5.178970608915471),
                                    ("de <year>o <ordinal> <cycle> de <time>", -4.773505500807306),
                                    ("intersect by `da` or `de`in the <part-of-day>",
                                     -4.773505500807306),
                                    ("Setembrode <year>", -4.080358320247361),
                                    ("now<hour-of-day> and <relative minutes>", -5.178970608915471),
                                    ("yearmonth", -2.4381305849902697),
                                    ("Ter\231a-feiraright now", -5.178970608915471),
                                    ("Sexta-feiraintersect", -5.178970608915471),
                                    ("dayminute", -4.773505500807306),
                                    ("Setembrotwo time tokens separated by \",\"",
                                     -5.178970608915471),
                                    ("intersect by `da` or `de`intersect", -5.178970608915471),
                                    ("intersectSexta-feira", -4.773505500807306),
                                    ("intersect by `da` or `de`two time tokens separated by \",\"2",
                                     -5.178970608915471),
                                    ("yearo <ordinal> <cycle> de <time>", -4.773505500807306),
                                    ("passado <cycle>de <year>", -5.178970608915471),
                                    ("Sexta-feiraintersect by `da` or `de`", -4.080358320247361),
                                    ("intersect by `da` or `de`Sexta-feira", -4.2626798770413155),
                                    ("two time tokens separated by \",\"de <year>",
                                     -4.773505500807306),
                                    ("intersect by `da` or `de`de <year>", -3.6748932121391964),
                                    ("<day-of-month> de <named-month>\224s <time-of-day>",
                                     -5.178970608915471),
                                    ("yearquarter", -2.158545722771108),
                                    ("de <datetime> - <datetime> (interval)Julho",
                                     -5.178970608915471),
                                    ("daynograin", -5.178970608915471),
                                    ("yearantes das <time-of-day>", -2.3457572648592544),
                                    ("Maiode <year>", -4.773505500807306),
                                    ("<day-of-month> de <named-month>de <year>",
                                     -5.178970608915471),
                                    ("two time tokens separated by \",\"2de <year>",
                                     -4.773505500807306),
                                    ("intersectde <year>", -5.178970608915471)],
                               n = 138}}),
       ("<ordinal> <cycle> de <year> - <ordinal> <cycle> de <year>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.174387269895637,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyearmonthyear", -1.3862943611198906),
                                    ("ordinals (1..10)mes (grain)yearordinals (1..10)mes (grain)year",
                                     -1.3862943611198906),
                                    ("ordinals (1..10)trimestre (grain)yearordinals (1..10)trimestre (grain)year",
                                     -1.3862943611198906),
                                    ("quarteryearquarteryear", -1.3862943611198906)],
                               n = 30},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("season",
        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}}),
       ("minutos (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}}),
       ("two time tokens separated by \",\"2",
        Classifier{okData =
                     ClassData{prior = -1.0360919316867756,
                               unseen = -3.6375861597263857,
                               likelihoods =
                                 HashMap.fromList
                                   [("yearSexta-feira", -2.917770732084279),
                                    ("dayday", -1.3083328196501787),
                                    ("de <year>Sexta-feira", -2.917770732084279),
                                    ("Sexta-feiraintersect", -2.512305623976115),
                                    ("intersectSexta-feira", -2.917770732084279),
                                    ("Sexta-feira<day-of-month> de <named-month>",
                                     -2.512305623976115),
                                    ("Sexta-feiraintersect by `da` or `de`", -2.512305623976115),
                                    ("intersect by `da` or `de`Sexta-feira", -2.917770732084279),
                                    ("yearday", -2.512305623976115),
                                    ("Segunda-feira<day-of-month> de <named-month>",
                                     -2.917770732084279)],
                               n = 11},
                   koData =
                     ClassData{prior = -0.4382549309311553, unseen = -4.02535169073515,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourday", -2.3978952727983707),
                                    ("dayhour", -1.5224265354444706),
                                    ("daymonth", -2.6210388241125804),
                                    ("monthday", -2.908720896564361),
                                    ("Segunda-feiraintersect by `da` or `de`", -2.908720896564361),
                                    ("Sexta-feiraintersect", -2.908720896564361),
                                    ("intersectSexta-feira", -2.908720896564361),
                                    ("Sexta-feiraintersect by `da` or `de`", -1.6094379124341003),
                                    ("intersect by `da` or `de`Sexta-feira", -2.3978952727983707)],
                               n = 20}}),
       ("year (latent)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -4.143134726391533,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.4135623183407838),
                                    ("integer (0..19)", -1.3545456628053103),
                                    ("negative numbers", -3.028522096376982),
                                    ("tens (20..90)", -3.4339872044851463)],
                               n = 58}}),
       ("n[ao] <date>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("dia <day-of-month> (non ordinal)", -1.252762968495368),
                                    ("Domingo", -1.252762968495368), ("day", -0.8472978603872037)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("yesterday",
        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}}),
       ("amanh\227 pela <part-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.3294792011302423, unseen = -4.672828834461907,
                               likelihoods =
                                 HashMap.fromList
                                   [("<hour-of-day> and quinzeafternoon", -3.054001181677967),
                                    ("<day-of-month> de <named-month>morning", -3.970291913552122),
                                    ("dayhour", -2.871679624884012),
                                    ("\224s <time-of-day>morning", -3.2771447329921766),
                                    ("hourhour", -1.890850371872286),
                                    ("<hour-of-day> and halfafternoon", -3.054001181677967),
                                    ("minutehour", -1.5723966407537513),
                                    ("tomorrowevening", -3.970291913552122),
                                    ("time-of-day (latent)morning", -3.2771447329921766),
                                    ("time-of-day (latent)evening", -3.5648268054439574),
                                    ("\224s <time-of-day>afternoon", -2.3608540011180215),
                                    ("dia <day-of-month> de <named-month>morning",
                                     -3.970291913552122),
                                    ("yesterdayevening", -3.970291913552122),
                                    ("time-of-day (latent)afternoon", -3.5648268054439574),
                                    ("<hour-of-day> and <relative minutes>afternoon",
                                     -2.717528945056754),
                                    ("intersectmorning", -3.970291913552122),
                                    ("\224s <time-of-day>evening", -3.5648268054439574),
                                    ("intersect by `da` or `de`morning", -3.970291913552122)],
                               n = 41},
                   koData =
                     ClassData{prior = -1.270462545594769, unseen = -4.04305126783455,
                               likelihoods =
                                 HashMap.fromList
                                   [("yearhour", -1.540445040947149),
                                    ("monthhour", -2.9267394020670396),
                                    ("hourhour", -2.639057329615259),
                                    ("time-of-day (latent)morning", -3.332204510175204),
                                    ("year (latent)afternoon", -2.2335922215070942),
                                    ("Fevereiromorning", -3.332204510175204),
                                    ("year (latent)evening", -2.9267394020670396),
                                    ("time-of-day (latent)afternoon", -2.9267394020670396),
                                    ("year (latent)morning", -2.4159137783010487),
                                    ("intersect by `da` or `de`morning", -3.332204510175204)],
                               n = 16}}),
       ("dentro de <duration>",
        Classifier{okData =
                     ClassData{prior = -2.772588722239781, unseen = -2.3978952727983707,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> <unit-of-duration>", -1.6094379124341003),
                                    ("hour", -1.6094379124341003)],
                               n = 1},
                   koData =
                     ClassData{prior = -6.453852113757118e-2,
                               unseen = -3.6635616461296463,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.9444389791664407), ("second", -2.9444389791664407),
                                    ("day", -2.538973871058276), ("year", -2.538973871058276),
                                    ("<integer> <unit-of-duration>", -0.8649974374866046),
                                    ("hour", -2.2512917986064953), ("month", -2.9444389791664407),
                                    ("minute", -1.845826690498331)],
                               n = 15}}),
       ("Segunda-feira",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Fevereiro",
        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}}),
       ("<ordinal> trimestre <year>",
        Classifier{okData =
                     ClassData{prior = -1.2499579175677595, unseen = -4.700480365792417,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (1..10)trimestre (grain)de <year>",
                                     -1.080429969584919),
                                    ("quarteryear", -0.7401041636477163),
                                    ("ordinals (1..10)trimestre (grain)year", -1.9187591599893623)],
                               n = 51},
                   koData =
                     ClassData{prior = -0.3375964638334939, unseen = -5.568344503761097,
                               likelihoods =
                                 HashMap.fromList
                                   [("quarterquarter", -0.7124901434030763),
                                    ("ordinals (1..10)trimestre (grain)intersect",
                                     -2.4734779539643776),
                                    ("ordinals (1..10)trimestre (grain)<datetime> - <datetime> (interval)",
                                     -1.539168716587544),
                                    ("ordinals (1..10)trimestre (grain)entre <datetime> e <datetime> (interval)",
                                     -1.6132766887412662)],
                               n = 127}}),
       ("dia <day-of-month> (non ordinal)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 6},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<ordinal> trimestre",
        Classifier{okData =
                     ClassData{prior = -2.871679624884012, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (1..10)trimestre (grain)", -0.6931471805599453),
                                    ("quarter", -0.6931471805599453)],
                               n = 3},
                   koData =
                     ClassData{prior = -5.826890812397576e-2,
                               unseen = -4.634728988229636,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (1..10)trimestre (grain)", -0.6931471805599453),
                                    ("quarter", -0.6931471805599453)],
                               n = 50}}),
       ("now",
        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}}),
       ("dia <day-of-month> de <named-month>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)Fevereiro", -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <part-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("hour", -0.6931471805599453),
                                    ("evening", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("passado <cycle>",
        Classifier{okData =
                     ClassData{prior = -0.7621400520468967,
                               unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.5686159179138452),
                                    ("semana (grain)", -1.5686159179138452),
                                    ("quarter", -2.0794415416798357),
                                    ("trimestre (grain)", -2.0794415416798357),
                                    ("hour", -2.4849066497880004),
                                    ("hora (grain)", -2.4849066497880004)],
                               n = 7},
                   koData =
                     ClassData{prior = -0.6286086594223742, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("mes (grain)", -1.6486586255873816),
                                    ("quarter", -2.159484249353372), ("year", -2.159484249353372),
                                    ("ano (grain)", -2.159484249353372),
                                    ("trimestre (grain)", -2.159484249353372),
                                    ("month", -1.6486586255873816)],
                               n = 8}}),
       ("Ter\231a-feira",
        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}}),
       ("Domingo",
        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}}),
       ("antes das <time-of-day>",
        Classifier{okData =
                     ClassData{prior = -2.691243082785829, unseen = -3.1780538303479458,
                               likelihoods =
                                 HashMap.fromList
                                   [("midnight", -2.03688192726104), ("noon", -2.03688192726104),
                                    ("hour", -1.5260563034950494)],
                               n = 4},
                   koData =
                     ClassData{prior = -7.020425867324857e-2,
                               unseen = -4.836281906951478,
                               likelihoods =
                                 HashMap.fromList
                                   [("<ordinal> <cycle> <time>", -2.120263536200091),
                                    ("intersect by `da` or `de`", -2.8824035882469876),
                                    ("<day-of-month> de <named-month>", -3.4420193761824103),
                                    ("<ordinal> <cycle> de <time>", -2.2633643798407643),
                                    ("year (latent)", -3.4420193761824103),
                                    ("<ordinal> trimestre <year>", -2.7488721956224653),
                                    ("<ordinal> trimestre", -2.7488721956224653),
                                    ("day", -3.4420193761824103), ("quarter", -1.4961092271270973),
                                    ("time-of-day (latent)", -3.4420193761824103),
                                    ("year", -3.4420193761824103), ("hour", -2.8824035882469876),
                                    ("month", -1.995100393246085)],
                               n = 55}}),
       ("dd-dd <month>(interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("Julho", -0.6931471805599453), ("month", -0.6931471805599453)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("ordinals (11..19)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods =
                                 HashMap.fromList [("ordinals (1..10)ordinals (1..10)", 0.0)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<cycle> passado",
        Classifier{okData =
                     ClassData{prior = -0.2006706954621511, unseen = -3.367295829986474,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.9459101490553135),
                                    ("semana (grain)", -1.9459101490553135),
                                    ("mes (grain)", -2.639057329615259),
                                    ("quarter", -2.2335922215070942), ("year", -2.639057329615259),
                                    ("ano (grain)", -2.639057329615259),
                                    ("trimestre (grain)", -2.2335922215070942),
                                    ("hour", -2.2335922215070942), ("month", -2.639057329615259),
                                    ("hora (grain)", -2.2335922215070942)],
                               n = 9},
                   koData =
                     ClassData{prior = -1.7047480922384253, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("mes (grain)", -1.9459101490553135),
                                    ("year", -1.9459101490553135),
                                    ("ano (grain)", -1.9459101490553135),
                                    ("month", -1.9459101490553135)],
                               n = 2}}),
       ("tomorrow",
        Classifier{okData =
                     ClassData{prior = -0.3364722366212129,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -1.252762968495368, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("mes (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.219507705176107,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 66},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("ordinals (1..10)",
        Classifier{okData =
                     ClassData{prior = -0.25131442828090605,
                               unseen = -4.672828834461907,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 105},
                   koData =
                     ClassData{prior = -1.5040773967762742,
                               unseen = -3.4657359027997265,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
       ("<integer> para as <hour-of-day> (as relative minutes)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)noon", -1.7047480922384253),
                                    ("integer (0..19)noon", -1.0116009116784799),
                                    ("hour", -0.7884573603642702)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("o <ordinal> trimestre",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (1..10)trimestre (grain)", -0.6931471805599453),
                                    ("quarter", -0.6931471805599453)],
                               n = 4}}),
       ("<dim time> da manha",
        Classifier{okData =
                     ClassData{prior = -0.262364264467491, unseen = -3.4339872044851463,
                               likelihoods =
                                 HashMap.fromList
                                   [("intersect by `da` or `de`", -2.70805020110221),
                                    ("<day-of-month> de <named-month>", -2.70805020110221),
                                    ("intersect", -2.70805020110221),
                                    ("dia <day-of-month> de <named-month>", -2.70805020110221),
                                    ("day", -2.0149030205422647),
                                    ("time-of-day (latent)", -2.0149030205422647),
                                    ("hour", -1.3217558399823195),
                                    ("\224s <time-of-day>", -2.0149030205422647)],
                               n = 10},
                   koData =
                     ClassData{prior = -1.466337068793427, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("intersect by `da` or `de`", -2.0794415416798357),
                                    ("Fevereiro", -2.0794415416798357),
                                    ("time-of-day (latent)", -2.0794415416798357),
                                    ("hour", -2.0794415416798357), ("month", -1.6739764335716716)],
                               n = 3}}),
       ("em <duration>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.6635616461296463,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.9444389791664407), ("second", -2.9444389791664407),
                                    ("day", -2.538973871058276), ("year", -2.538973871058276),
                                    ("<integer> <unit-of-duration>", -0.8649974374866046),
                                    ("hour", -2.2512917986064953), ("month", -2.9444389791664407),
                                    ("minute", -1.845826690498331)],
                               n = 15},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("n passados <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)mes (grain)", -1.3862943611198906),
                                    ("integer (numeric)ano (grain)", -1.3862943611198906),
                                    ("year", -1.3862943611198906), ("month", -1.3862943611198906)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<cycle> actual",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("quarter", -0.6931471805599453),
                                    ("trimestre (grain)", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("fractional number",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
       ("passados n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)dia (grain)", -2.0794415416798357),
                                    ("integer (numeric)mes (grain)", -1.6739764335716716),
                                    ("integer (numeric)ano (grain)", -1.6739764335716716),
                                    ("day", -2.0794415416798357), ("year", -1.6739764335716716),
                                    ("month", -1.6739764335716716)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("n <cycle> passados",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)mes (grain)", -1.3862943611198906),
                                    ("integer (numeric)ano (grain)", -1.3862943611198906),
                                    ("year", -1.3862943611198906), ("month", -1.3862943611198906)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Janeiro",
        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}}),
       ("afternoon",
        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> and 3/4",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.2992829841302609),
                                    ("hour", -0.7884573603642702),
                                    ("\224s <time-of-day>", -1.2992829841302609)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\250ltimo <cycle> <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -1.540445040947149),
                                    ("trimestre (grain)year", -1.9459101490553135),
                                    ("quarteryear", -1.540445040947149),
                                    ("mes (grain)year", -1.9459101490553135),
                                    ("trimestre (grain)de <year>", -1.9459101490553135),
                                    ("mes (grain)de <year>", -1.9459101490553135)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Dezembro",
        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}}),
       ("time-of-day (latent)",
        Classifier{okData =
                     ClassData{prior = -1.2163953243244932, unseen = -3.332204510175204,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -1.0986122886681098),
                                    ("integer (0..19)", -0.46262352194811296)],
                               n = 24},
                   koData =
                     ClassData{prior = -0.3513978868378886, unseen = -4.110873864173311,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.3101549283038396),
                                    ("integer (0..19)", -1.455287232606842),
                                    ("tens (20..90)", -3.4011973816621555)],
                               n = 57}}),
       ("<hour-of-day> and <relative minutes>",
        Classifier{okData =
                     ClassData{prior = -0.2719337154836418, unseen = -3.713572066704308,
                               likelihoods =
                                 HashMap.fromList
                                   [("\224s <time-of-day>tens (20..90)", -2.5902671654458267),
                                    ("time-of-day (latent)integer (0..19)", -2.0794415416798357),
                                    ("time-of-day (latent)tens (20..90)", -2.5902671654458267),
                                    ("nooninteger (0..19)", -2.995732273553991),
                                    ("time-of-day (latent)number (21..29 31..39 .. 91..99)",
                                     -2.5902671654458267),
                                    ("hour", -0.8556661100577202),
                                    ("\224s <time-of-day>number (21..29 31..39 .. 91..99)",
                                     -2.5902671654458267),
                                    ("\224s <time-of-day>integer (0..19)", -2.3025850929940455)],
                               n = 16},
                   koData =
                     ClassData{prior = -1.4350845252893227,
                               unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("\224s <time-of-day>tens (20..90)", -1.791759469228055),
                                    ("time-of-day (latent)integer (0..19)", -2.1972245773362196),
                                    ("time-of-day (latent)tens (20..90)", -1.791759469228055),
                                    ("hour", -1.0986122886681098)],
                               n = 5}}),
       ("year",
        Classifier{okData =
                     ClassData{prior = -5.959209720224566e-2,
                               unseen = -4.7535901911063645,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 114},
                   koData =
                     ClassData{prior = -2.849880396541428, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 7}}),
       ("<integer> <unit-of-duration>",
        Classifier{okData =
                     ClassData{prior = -0.7396671961948381, unseen = -4.174387269895637,
                               likelihoods =
                                 HashMap.fromList
                                   [("number (21..29 31..39 .. 91..99)hora (grain)",
                                     -3.4657359027997265),
                                    ("week", -2.772588722239781),
                                    ("integer (0..19)segundo (grain)", -3.4657359027997265),
                                    ("integer (numeric)hora (grain)", -3.4657359027997265),
                                    ("integer (numeric)dia (grain)", -3.4657359027997265),
                                    ("integer (0..19)ano (grain)", -3.0602707946915624),
                                    ("second", -3.4657359027997265),
                                    ("integer (0..19)semana (grain)", -2.772588722239781),
                                    ("integer (numeric)ano (grain)", -3.4657359027997265),
                                    ("integer (0..19)mes (grain)", -3.0602707946915624),
                                    ("integer (0..19)hora (grain)", -2.772588722239781),
                                    ("integer (numeric)minutos (grain)", -2.772588722239781),
                                    ("day", -3.0602707946915624), ("year", -2.772588722239781),
                                    ("integer (0..19)minutos (grain)", -3.0602707946915624),
                                    ("hour", -2.367123614131617), ("month", -3.0602707946915624),
                                    ("minute", -2.367123614131617),
                                    ("integer (0..19)dia (grain)", -3.4657359027997265)],
                               n = 21},
                   koData =
                     ClassData{prior = -0.6486954179891115, unseen = -4.23410650459726,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -3.120895416507997),
                                    ("integer (numeric)hora (grain)", -2.833213344056216),
                                    ("integer (numeric)dia (grain)", -3.120895416507997),
                                    ("integer (0..19)ano (grain)", -3.5263605246161616),
                                    ("integer (numeric)mes (grain)", -2.833213344056216),
                                    ("second", -3.120895416507997),
                                    ("integer (0..19)semana (grain)", -3.5263605246161616),
                                    ("integer (numeric)semana (grain)", -3.5263605246161616),
                                    ("integer (numeric)ano (grain)", -2.6100697927420065),
                                    ("integer (0..19)mes (grain)", -3.120895416507997),
                                    ("integer (0..19)hora (grain)", -3.120895416507997),
                                    ("integer (numeric)minutos (grain)", -3.120895416507997),
                                    ("day", -3.120895416507997),
                                    ("integer (numeric)segundo (grain)", -3.120895416507997),
                                    ("year", -2.4277482359480516), ("hour", -2.4277482359480516),
                                    ("month", -2.4277482359480516), ("minute", -3.120895416507997)],
                               n = 23}}),
       ("proximas n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)hora (grain)", -2.4849066497880004),
                                    ("integer (numeric)dia (grain)", -2.4849066497880004),
                                    ("integer (0..19)ano (grain)", -2.4849066497880004),
                                    ("second", -2.4849066497880004),
                                    ("integer (0..19)mes (grain)", -2.4849066497880004),
                                    ("integer (numeric)minutos (grain)", -2.4849066497880004),
                                    ("day", -2.4849066497880004),
                                    ("integer (numeric)segundo (grain)", -2.4849066497880004),
                                    ("year", -2.4849066497880004), ("hour", -2.4849066497880004),
                                    ("month", -2.4849066497880004),
                                    ("minute", -2.4849066497880004)],
                               n = 6},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.5649493574615367,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<time-of-day> am|pm",
        Classifier{okData =
                     ClassData{prior = -1.252762968495368, unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.252762968495368),
                                    ("hour", -0.8472978603872037),
                                    ("\224s <time-of-day>", -1.252762968495368)],
                               n = 2},
                   koData =
                     ClassData{prior = -0.3364722366212129, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -0.7731898882334817),
                                    ("hour", -0.7731898882334817)],
                               n = 5}}),
       ("n proximas <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.791759469228055),
                                    ("integer (numeric)mes (grain)", -1.791759469228055),
                                    ("integer (numeric)semana (grain)", -1.791759469228055),
                                    ("integer (numeric)ano (grain)", -1.791759469228055),
                                    ("year", -1.791759469228055), ("month", -1.791759469228055)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("vespera de ano novo",
        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}}),
       ("Quart-feira",
        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}}),
       ("o <ordinal> <cycle> de <time>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -1.3862943611198906),
                                    ("ordinals (1..10)mes (grain)year", -1.3862943611198906),
                                    ("quarteryear", -1.3862943611198906),
                                    ("ordinals (1..10)trimestre (grain)year", -1.3862943611198906)],
                               n = 4}}),
       ("Quinta-feira",
        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}}),
       ("day of month (1st)",
        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}}),
       ("ano (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.833213344056216,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<ordinal> <cycle> <year> - <ordinal> <cycle> <year>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.465908118654584,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (1..10)trimestre (grain)de <year>ordinals (1..10)trimestre (grain)de <year>",
                                     -1.6817585740137264),
                                    ("ordinals (1..10)mes (grain)de <year>ordinals (1..10)mes (grain)de <year>",
                                     -1.6817585740137264),
                                    ("monthyearmonthyear", -1.4098248585300848),
                                    ("ordinals (1..10)mes (grain)yearordinals (1..10)mes (grain)year",
                                     -2.662587827025453),
                                    ("ordinals (1..10)trimestre (grain)yearordinals (1..10)trimestre (grain)year",
                                     -2.662587827025453),
                                    ("quarteryearquarteryear", -1.4098248585300848)],
                               n = 40},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("trimestre (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.174387269895637,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 63},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("este <cycle>",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.9459101490553135),
                                    ("semana (grain)", -1.9459101490553135),
                                    ("quarter", -1.9459101490553135), ("year", -1.9459101490553135),
                                    ("ano (grain)", -1.9459101490553135),
                                    ("trimestre (grain)", -1.9459101490553135)],
                               n = 3},
                   koData =
                     ClassData{prior = -0.6931471805599453, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -1.252762968495368),
                                    ("dia (grain)", -1.252762968495368)],
                               n = 3}}),
       ("<named-month|named-day> next",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.6931471805599453),
                                    ("Quart-feira", -0.6931471805599453)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Setembro",
        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}}),
       ("last <time>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("year (latent)", -1.3862943611198906),
                                    ("time-of-day (latent)", -1.3862943611198906),
                                    ("year", -1.3862943611198906), ("hour", -1.3862943611198906)],
                               n = 4}}),
       ("\250ltimo <cycle> de <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -1.3862943611198906),
                                    ("trimestre (grain)year", -1.3862943611198906),
                                    ("quarteryear", -1.3862943611198906),
                                    ("mes (grain)year", -1.3862943611198906)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<part-of-day> dessa semana",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("Ter\231a-feira", -0.6931471805599453),
                                    ("day", -0.6931471805599453)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("the day after tomorrow",
        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}}),
       ("ano novo",
        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}}),
       ("dd[/-.]mm[/-.]yyyy",
        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}}),
       ("noon",
        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}}),
       ("dd-dd <month> de (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)integer (numeric)Julho",
                                     -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 8},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("n <cycle> (proximo|que vem)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.791759469228055),
                                    ("integer (numeric)semana (grain)", -1.791759469228055),
                                    ("integer (numeric)ano (grain)", -1.791759469228055),
                                    ("integer (0..19)mes (grain)", -1.791759469228055),
                                    ("year", -1.791759469228055), ("month", -1.791759469228055)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("evening",
        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> and quinze",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.3862943611198906),
                                    ("noon", -2.3025850929940455), ("hour", -0.7985076962177716),
                                    ("\224s <time-of-day>", -1.6094379124341003)],
                               n = 8},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("depois das <time-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day> horas", -1.6739764335716716),
                                    ("time-of-day (latent)", -1.6739764335716716),
                                    ("noon", -1.6739764335716716), ("hour", -0.8266785731844679)],
                               n = 6},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("negative numbers",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 6}}),
       ("<datetime> - <datetime> (interval)",
        Classifier{okData =
                     ClassData{prior = -0.20938473514278214,
                               unseen = -6.523562306149512,
                               likelihoods =
                                 HashMap.fromList
                                   [("<ordinal> <cycle> <time><ordinal> trimestre <year>",
                                     -3.4775703604467294),
                                    ("de <year><ordinal> trimestre <year>", -3.7495040759303713),
                                    ("<ordinal> trimestre <year><ordinal> <cycle> <time>",
                                     -3.4775703604467294),
                                    ("year<ordinal> <cycle> de <time>", -3.7495040759303713),
                                    ("quarterquarter", -1.4722367909206153),
                                    ("minuteminute", -5.8289456176102075),
                                    ("<ordinal> <cycle> <time><ordinal> <cycle> <time>",
                                     -2.8085207314658445),
                                    ("dayday", -5.8289456176102075),
                                    ("de <year><ordinal> <cycle> <time>", -3.7495040759303713),
                                    ("hh(:|.|h)mm (time-of-day)hh(:|.|h)mm (time-of-day)",
                                     -5.8289456176102075),
                                    ("monthmonth", -2.332438056143727),
                                    ("<day-of-month> de <named-month><day-of-month> de <named-month>",
                                     -5.8289456176102075),
                                    ("<ordinal> trimestre <year><ordinal> trimestre <year>",
                                     -3.4775703604467294),
                                    ("<ordinal> trimestre <year><ordinal> <cycle> de <time>",
                                     -3.7495040759303713),
                                    ("<ordinal> <cycle> <time><ordinal> <cycle> de <time>",
                                     -3.088105593685006),
                                    ("de <year><ordinal> <cycle> de <time>", -3.7495040759303713),
                                    ("<ordinal> <cycle> de <time><ordinal> <cycle> <time>",
                                     -3.088105593685006),
                                    ("year<ordinal> trimestre <year>", -3.4775703604467294),
                                    ("<ordinal> <cycle> de <time><ordinal> <cycle> de <time>",
                                     -3.088105593685006),
                                    ("year<ordinal> <cycle> <time>", -3.4775703604467294),
                                    ("yearquarter", -1.906972281328893),
                                    ("<ordinal> <cycle> de <time><ordinal> trimestre <year>",
                                     -3.7495040759303713)],
                               n = 322},
                   koData =
                     ClassData{prior = -1.66644816715088, unseen = -5.231108616854587,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourday", -4.532599493153256),
                                    ("dayhour", -4.532599493153256),
                                    ("daymonth", -4.532599493153256),
                                    ("monthday", -4.127134385045092),
                                    ("year<ordinal> <cycle> de <time>", -2.45315795147342),
                                    ("<day-of-month> de <named-month>intersect by `da` or `de`",
                                     -4.127134385045092),
                                    ("monthhour", -4.127134385045092),
                                    ("de <year><ordinal> <cycle> <time>", -2.45315795147342),
                                    ("monthmonth", -4.532599493153256),
                                    ("hourhour", -4.532599493153256),
                                    ("dayyear", -4.532599493153256),
                                    ("Dezembro<day-of-month> de <named-month>", -4.532599493153256),
                                    ("de <year><ordinal> <cycle> de <time>", -2.45315795147342),
                                    ("yearmonth", -1.0360919316867756),
                                    ("intersect by `da` or `de`<day-of-month> de <named-month>",
                                     -4.127134385045092),
                                    ("intersect by `da` or `de`intersect by `da` or `de`",
                                     -4.127134385045092),
                                    ("year<ordinal> <cycle> <time>", -2.181224235989778),
                                    ("Dezembrointersect by `da` or `de`", -4.127134385045092),
                                    ("dd[/-]mmyear", -4.532599493153256)],
                               n = 75}}),
       ("entre <datetime> e <datetime> (interval)",
        Classifier{okData =
                     ClassData{prior = -0.3171961329649449, unseen = -6.159095388491933,
                               likelihoods =
                                 HashMap.fromList
                                   [("<ordinal> <cycle> <time><ordinal> trimestre <year>",
                                     -3.4489287844833454),
                                    ("<ordinal> trimestre <year><ordinal> <cycle> <time>",
                                     -3.4489287844833454),
                                    ("year<ordinal> <cycle> de <time>", -3.2666072276893905),
                                    ("quarterquarter", -1.3948050507877991),
                                    ("<ordinal> <cycle> <time><ordinal> <cycle> <time>",
                                     -2.7896831555990813),
                                    ("monthmonth", -2.2251533528612297),
                                    ("<ordinal> trimestre <year><ordinal> trimestre <year>",
                                     -3.4489287844833454),
                                    ("<ordinal> trimestre <year><ordinal> <cycle> de <time>",
                                     -3.5920296281240187),
                                    ("<ordinal> <cycle> <time><ordinal> <cycle> de <time>",
                                     -2.938103160717355),
                                    ("<ordinal> <cycle> de <time><ordinal> <cycle> <time>",
                                     -2.938103160717355),
                                    ("year<ordinal> trimestre <year>", -3.2666072276893905),
                                    ("<ordinal> <cycle> de <time><ordinal> <cycle> de <time>",
                                     -2.938103160717355),
                                    ("year<ordinal> <cycle> <time>", -3.2666072276893905),
                                    ("yearquarter", -2.205735267004128),
                                    ("<ordinal> <cycle> de <time><ordinal> trimestre <year>",
                                     -3.5920296281240187)],
                               n = 217},
                   koData =
                     ClassData{prior = -1.3026443318329657, unseen = -5.303304908059076,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourday", -3.912023005428146),
                                    ("monthday", -4.605170185988091),
                                    ("monthyear", -4.605170185988091),
                                    ("yearhour", -2.995732273553991),
                                    ("year (latent)intersect by `da` or `de`", -3.3524072174927233),
                                    ("time-of-day (latent)year (latent)", -3.3524072174927233),
                                    ("houryear", -3.3524072174927233),
                                    ("year<ordinal> <cycle> de <time>", -2.4079456086518722),
                                    ("year (latent)<day-of-month> de <named-month>",
                                     -3.912023005428146),
                                    ("time-of-day (latent)<day-of-month> de <named-month>",
                                     -3.912023005428146),
                                    ("monthhour", -4.199705077879927),
                                    ("yearyear", -3.3524072174927233),
                                    ("hourmonth", -3.912023005428146),
                                    ("time-of-day (latent)intersect by `da` or `de`",
                                     -3.3524072174927233),
                                    ("time-of-day (latent)time-of-day (latent)",
                                     -3.3524072174927233),
                                    ("year (latent)year (latent)", -3.3524072174927233),
                                    ("monthmonth", -4.605170185988091),
                                    ("hourhour", -2.995732273553991),
                                    ("Dezembrotime-of-day (latent)", -4.605170185988091),
                                    ("Dezembro<day-of-month> de <named-month>", -4.605170185988091),
                                    ("Dezembroyear (latent)", -4.605170185988091),
                                    ("year (latent)time-of-day (latent)", -3.3524072174927233),
                                    ("yearmonth", -1.6607312068216509),
                                    ("year<ordinal> <cycle> <time>", -2.4079456086518722),
                                    ("yearday", -3.912023005428146),
                                    ("Dezembrointersect by `da` or `de`", -4.199705077879927)],
                               n = 81}}),
       ("segundo (grain)",
        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}}),
       ("desde <month> dd-dd de (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)integer (numeric)Julho",
                                     -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Mar\231o",
        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}}),
       ("tens (20..90)",
        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}}),
       ("dia (grain)",
        Classifier{okData =
                     ClassData{prior = -0.5596157879354228, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -0.8472978603872037,
                               unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
       ("in the <part-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("afternoon", -1.8718021769015913),
                                    ("hour", -0.7731898882334817),
                                    ("morning", -0.9555114450274363)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this|next <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
                               likelihoods =
                                 HashMap.fromList
                                   [("Segunda-feira", -1.6582280766035324),
                                    ("Ter\231a-feira", -1.0986122886681098),
                                    ("day", -0.7419373447293773)],
                               n = 9},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("natal",
        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}}),
       ("morning",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("week-end",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("hora (grain)",
        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}}),
       ("right now",
        Classifier{okData =
                     ClassData{prior = -0.1823215567939546,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -1.791759469228055, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("quinze para as <hour-of-day> (as relative minutes)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("noon", -0.6931471805599453), ("hour", -0.6931471805599453)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\224s <time-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.2484613592984996, unseen = -4.499809670330265,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time> timezone", -3.7954891891721947),
                                    ("<hour-of-day> and half", -2.8791984572980396),
                                    ("<time-of-day> horas", -3.7954891891721947),
                                    ("<hour-of-day> and 3/4", -3.39002408106403),
                                    ("time-of-day (latent)", -1.4441139320087168),
                                    ("<hour-of-day> and <relative minutes>", -2.409194828052304),
                                    ("<time-of-day> am|pm", -3.7954891891721947),
                                    ("hour", -1.3105825393841943),
                                    ("<hour-of-day> and quinze", -3.1023420086122493),
                                    ("minute", -1.6554230256759237)],
                               n = 39},
                   koData =
                     ClassData{prior = -1.5141277326297755,
                               unseen = -3.5263605246161616,
                               likelihoods =
                                 HashMap.fromList
                                   [("midnight", -2.803360380906535),
                                    ("<time-of-day> horas", -2.803360380906535),
                                    ("time-of-day (latent)", -1.4170660197866443),
                                    ("<hour-of-day> and <relative minutes>", -2.3978952727983707),
                                    ("hour", -1.1939224684724346), ("minute", -2.3978952727983707)],
                               n = 11}}),
       ("fazem <duration>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.772588722239781,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.6094379124341003), ("year", -2.0149030205422647),
                                    ("<integer> <unit-of-duration>", -0.916290731874155),
                                    ("hour", -2.0149030205422647), ("month", -2.0149030205422647)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("dd-dd <month> (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)integer (numeric)Julho",
                                     -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 6},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("n <cycle> atras",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.791759469228055), ("second", -1.791759469228055),
                                    ("integer (0..19)semana (grain)", -1.791759469228055),
                                    ("integer (numeric)minutos (grain)", -1.791759469228055),
                                    ("integer (numeric)segundo (grain)", -1.791759469228055),
                                    ("minute", -1.791759469228055)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.5263605246161616,
                               likelihoods =
                                 HashMap.fromList
                                   [("season", -2.1102132003465894),
                                    ("Segunda-feira", -2.1102132003465894),
                                    ("dia <day-of-month> (non ordinal)", -2.1102132003465894),
                                    ("day", -1.1939224684724346), ("hour", -1.8870696490323797),
                                    ("evening", -2.3978952727983707),
                                    ("week-end", -2.3978952727983707)],
                               n = 13},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [], n = 0}})]