Duckling/Ranking/Classifiers/NL_NL.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.NL_NL (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types

classifiers :: Classifiers
classifiers
  = HashMap.fromList
      [("Kerstmis",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<time> timezone",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -1.6094379124341003),
                                    ("hh:mm", -1.2039728043259361), ("hour", -1.6094379124341003),
                                    ("minute", -1.2039728043259361)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("integer (numeric)",
        Classifier{okData =
                     ClassData{prior = -0.6300464741920015, unseen = -4.948759890378168,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 139},
                   koData =
                     ClassData{prior = -0.7604993625894368, unseen = -4.820281565605037,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 122}}),
       ("exactly <time-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -1.252762968495368),
                                    ("time-of-day (latent)", -1.252762968495368),
                                    ("hour", -0.8472978603872037)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<duration> hence|ago",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.995732273553991,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.55814461804655), ("day", -1.845826690498331),
                                    ("year", -2.2512917986064953),
                                    ("<integer> <unit-of-duration>", -0.8649974374866046),
                                    ("month", -2.2512917986064953)],
                               n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("thursday",
        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 (20..90)",
        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> <part-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.15415067982725836,
                               unseen = -5.030437921392435,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clockmorning", -3.077970371790963),
                                    ("until <time-of-day>afternoon", -4.330733340286331),
                                    ("dayhour", -2.9444389791664407),
                                    ("todayevening", -4.330733340286331),
                                    ("on <date>evening", -3.925268232178167),
                                    ("thursdaymorning", -4.330733340286331),
                                    ("intersectevening", -2.384823191231018),
                                    ("tomorrowafternoon", -3.925268232178167),
                                    ("half to|till|before <integer> (hour-of-day)afternoon",
                                     -4.330733340286331),
                                    ("hourhour", -1.1737329191362178),
                                    ("<day-of-month> (non ordinal) <named-month>morning",
                                     -3.925268232178167),
                                    ("at <time-of-day>afternoon", -4.330733340286331),
                                    ("todayafternoon", -4.330733340286331),
                                    ("<time-of-day>  o'clockafternoon", -3.2321210516182215),
                                    ("<time-of-day>  o'clocknight", -4.330733340286331),
                                    ("until <time-of-day>morning", -3.925268232178167),
                                    ("minutehour", -2.9444389791664407),
                                    ("<time-of-day> am|pmmorning", -3.925268232178167),
                                    ("hh:mmmorning", -3.925268232178167),
                                    ("about <time-of-day>evening", -4.330733340286331),
                                    ("<time-of-day>  o'clockevening", -3.6375861597263857),
                                    ("<hour-of-day> <integer> (as relative minutes)afternoon",
                                     -3.925268232178167),
                                    ("intersectmorning", -3.077970371790963),
                                    ("about <time-of-day>afternoon", -4.330733340286331),
                                    ("hh:mmafternoon", -4.330733340286331),
                                    ("on <date>morning", -3.925268232178167),
                                    ("at <time-of-day>morning", -4.330733340286331)],
                               n = 60},
                   koData =
                     ClassData{prior = -1.9459101490553135, unseen = -3.970291913552122,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clockmorning", -3.258096538021482),
                                    ("yearhour", -3.258096538021482),
                                    ("intersectevening", -2.5649493574615367),
                                    ("monthhour", -2.8526314299133175),
                                    ("hourhour", -1.8718021769015913),
                                    ("year (latent)afternoon", -3.258096538021482),
                                    ("Februarymorning", -2.8526314299133175),
                                    ("<time-of-day>  o'clockevening", -3.258096538021482),
                                    ("time-of-day (latent)afternoon", -2.8526314299133175)],
                               n = 10}}),
       ("dd/mm",
        Classifier{okData =
                     ClassData{prior = -0.5108256237659907, unseen = -2.639057329615259,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 12},
                   koData =
                     ClassData{prior = -0.916290731874155, unseen = -2.3025850929940455,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
       ("today",
        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}}),
       ("at <time-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.19237189264745613, unseen = -4.31748811353631,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -1.739115735742633),
                                    ("half to|till|before <integer> (hour-of-day)",
                                     -3.6109179126442243),
                                    ("about <time-of-day>", -2.6946271807700692),
                                    ("time-of-day (latent)", -1.906169820405799),
                                    ("hh:mm", -2.512305623976115), ("hour", -1.0082282271998406),
                                    ("minute", -2.2246235515243336),
                                    ("<hour-of-day> <integer> (as relative minutes)",
                                     -3.6109179126442243)],
                               n = 33},
                   koData =
                     ClassData{prior = -1.742969305058623, unseen = -3.1354942159291497,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -2.3978952727983707),
                                    ("time-of-day (latent)", -1.1451323043030026),
                                    ("hour", -1.0116009116784799)],
                               n = 7}}),
       ("absorption of , after named day",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.995732273553991,
                               likelihoods =
                                 HashMap.fromList
                                   [("wednesday", -2.2512917986064953),
                                    ("monday", -1.845826690498331), ("friday", -1.55814461804655),
                                    ("day", -0.8649974374866046), ("sunday", -2.2512917986064953)],
                               n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("September",
        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}}),
       ("on <date>",
        Classifier{okData =
                     ClassData{prior = -8.338160893905101e-2,
                               unseen = -4.672828834461907,
                               likelihoods =
                                 HashMap.fromList
                                   [("thursday", -3.2771447329921766),
                                    ("<time> <part-of-day>", -3.054001181677967),
                                    ("dd/mm", -3.054001181677967), ("saturday", -3.970291913552122),
                                    ("intersect", -1.367602228107738),
                                    ("<day-of-month>(ordinal) <named-month>", -3.970291913552122),
                                    ("friday", -3.970291913552122), ("day", -1.8302257500558512),
                                    ("hh:mm", -3.970291913552122),
                                    ("<day-of-month> (ordinal)", -3.2771447329921766),
                                    ("hour", -1.8302257500558512),
                                    ("<datetime> - <datetime> (interval)", -3.970291913552122),
                                    ("<day-of-month> (non ordinal) <named-month>",
                                     -3.970291913552122),
                                    ("minute", -1.955388893009857)],
                               n = 46},
                   koData =
                     ClassData{prior = -2.5257286443082556,
                               unseen = -3.1354942159291497,
                               likelihoods =
                                 HashMap.fromList
                                   [("intersect", -1.7047480922384253),
                                    ("day", -2.3978952727983707),
                                    ("<day-of-month> (ordinal)", -2.3978952727983707),
                                    ("hour", -1.9924301646902063), ("minute", -2.3978952727983707)],
                               n = 4}}),
       ("integer (0..19)",
        Classifier{okData =
                     ClassData{prior = -5.5569851154810765e-2,
                               unseen = -3.6109179126442243,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 35},
                   koData =
                     ClassData{prior = -2.917770732084279, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("between <time-of-day> and <time-of-day> (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mmtime-of-day (latent)", -1.3862943611198906),
                                    ("minuteminute", -1.3862943611198906),
                                    ("hh:mmhh:mm", -1.3862943611198906),
                                    ("minutehour", -1.3862943611198906)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Halloween",
        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}}),
       ("between <datetime> and <datetime> (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mmtime-of-day (latent)", -1.3862943611198906),
                                    ("minuteminute", -1.3862943611198906),
                                    ("hh:mmhh:mm", -1.3862943611198906),
                                    ("minutehour", -1.3862943611198906)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("October",
        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}}),
       ("month (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}}),
       ("on a named-day",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("thursday", -1.252762968495368),
                                    ("saturday", -1.9459101490553135),
                                    ("friday", -1.9459101490553135), ("day", -0.8472978603872037)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("yesterday/tomorrow night",
        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}}),
       ("wednesday",
        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}}),
       ("<time-of-day>  o'clock",
        Classifier{okData =
                     ClassData{prior = -0.14107859825990549,
                               unseen = -4.955827057601261,
                               likelihoods =
                                 HashMap.fromList
                                   [("exactly <time-of-day>", -4.255612709818223),
                                    ("at <time-of-day>", -2.3838105329166317),
                                    ("about <time-of-day>", -2.8693183486983322),
                                    ("time-of-day (latent)", -1.259880436264232),
                                    ("quarter after|past <integer> (hour-of-day)",
                                     -4.255612709818223),
                                    ("until <time-of-day>", -3.339321977944068),
                                    ("hour", -0.7591051483517427), ("minute", -4.255612709818223),
                                    ("after <time-of-day>", -3.8501476017100584)],
                               n = 66},
                   koData =
                     ClassData{prior = -2.0281482472922856,
                               unseen = -3.4011973816621555,
                               likelihoods =
                                 HashMap.fromList
                                   [("at <time-of-day>", -2.6741486494265287),
                                    ("time-of-day (latent)", -1.0647107369924282),
                                    ("hour", -0.9694005571881036)],
                               n = 10}}),
       ("<integer> + '\"",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.40546510810816444),
                                    ("integer (0..19)", -1.0986122886681098)],
                               n = 4}}),
       ("July",
        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}}),
       ("hour (grain)",
        Classifier{okData =
                     ClassData{prior = -1.9661128563728327,
                               unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
                   koData =
                     ClassData{prior = -0.15082288973458366,
                               unseen = -3.8066624897703196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 43}}),
       ("<ordinal> quarter",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..19th)quarter (grain)", -0.916290731874155),
                                    ("quarter", -0.916290731874155)],
                               n = 1},
                   koData =
                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinal (digits)quarter (grain)", -0.916290731874155),
                                    ("quarter", -0.916290731874155)],
                               n = 1}}),
       ("saturday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("intersect",
        Classifier{okData =
                     ClassData{prior = -0.17538912001830978,
                               unseen = -6.263398262591624,
                               likelihoods =
                                 HashMap.fromList
                                   [("last <cycle>sunday", -5.568344503761097),
                                    ("Koningsdagyear", -4.064267106984823),
                                    ("hourday", -4.4697322150929875),
                                    ("on a named-day<day-of-month> (non ordinal) <named-month>",
                                     -5.568344503761097),
                                    ("<day-of-month> (non ordinal) <named-month><time-of-day>  o'clock",
                                     -5.568344503761097),
                                    ("dayhour", -2.4328502878319473),
                                    ("daymonth", -4.6520537718869415),
                                    ("next <cycle>friday", -5.568344503761097),
                                    ("monthyear", -3.9589065913269965),
                                    ("friday<day-of-month> (non ordinal) <named-month>",
                                     -5.162879395652933),
                                    ("yearhour", -5.568344503761097),
                                    ("intersect<time-of-day>  o'clock", -4.875197323201151),
                                    ("tuesdaythis <cycle>", -5.568344503761097),
                                    ("on a named-dayfrom <time-of-day> - <time-of-day> (interval)",
                                     -4.6520537718869415),
                                    ("saturday<time-of-day>  o'clock", -5.568344503761097),
                                    ("absorption of , after named daydd/mm/yyyy",
                                     -5.162879395652933),
                                    ("<time-of-day> am|pmintersect", -5.568344503761097),
                                    ("intersect<time> <part-of-day>", -4.875197323201151),
                                    ("Marchyear", -5.568344503761097),
                                    ("saturdayat <time-of-day>", -5.162879395652933),
                                    ("saturday<time> <part-of-day>", -5.162879395652933),
                                    ("dd/mm<time-of-day>  o'clock", -5.568344503761097),
                                    ("on a named-dayat <time-of-day>", -4.875197323201151),
                                    ("today<time-of-day>  o'clock", -5.568344503761097),
                                    ("at <time-of-day>on a named-day", -5.568344503761097),
                                    ("on a named-daybetween <datetime> and <datetime> (interval)",
                                     -5.162879395652933),
                                    ("intersect by ','year", -5.568344503761097),
                                    ("on <date><time-of-day>  o'clock", -4.875197323201151),
                                    ("next <cycle>monday", -5.568344503761097),
                                    ("on a named-daybetween <time-of-day> and <time-of-day> (interval)",
                                     -5.162879395652933),
                                    ("exactly <time-of-day>tomorrow", -5.568344503761097),
                                    ("on a named-day<time> <part-of-day>", -5.162879395652933),
                                    ("monthhour", -4.6520537718869415),
                                    ("on <date>between <datetime> and <datetime> (interval)",
                                     -5.162879395652933),
                                    ("last <day-of-week> of <time>year", -5.568344503761097),
                                    ("on a named-day<time-of-day>  o'clock", -5.568344503761097),
                                    ("next <cycle>March", -5.568344503761097),
                                    ("todayat <time-of-day>", -4.875197323201151),
                                    ("on <date>between <time-of-day> and <time-of-day> (interval)",
                                     -5.162879395652933),
                                    ("on <date>at <time-of-day>", -4.875197323201151),
                                    ("thursday<time> timezone", -5.162879395652933),
                                    ("on <date>about <time-of-day>", -4.875197323201151),
                                    ("dayday", -3.265759410767051),
                                    ("on <date><time> <part-of-day>", -4.6520537718869415),
                                    ("dd/mmabout <time-of-day>", -5.162879395652933),
                                    ("<day-of-month> (ordinal)intersect", -5.568344503761097),
                                    ("hourhour", -4.4697322150929875),
                                    ("saturday<day-of-month> (non ordinal) <named-month>",
                                     -5.568344503761097),
                                    ("thursdayat <time-of-day>", -5.568344503761097),
                                    ("today/tomorrow/yesterday afternoon<hour-of-day> <integer> (as relative minutes)",
                                     -5.162879395652933),
                                    ("intersect<day-of-month> (non ordinal) <named-month>",
                                     -4.4697322150929875),
                                    ("dayyear", -3.1704492309627264),
                                    ("tuesdayafter <duration>", -5.568344503761097),
                                    ("tomorrow<time-of-day>  o'clock", -5.568344503761097),
                                    ("<time-of-day>  o'clocktomorrow", -4.875197323201151),
                                    ("<day-of-month> (non ordinal) <named-month>intersect",
                                     -5.568344503761097),
                                    ("thursdaybetween <time-of-day> and <time-of-day> (interval)",
                                     -5.162879395652933),
                                    ("thursdaybetween <datetime> and <datetime> (interval)",
                                     -5.162879395652933),
                                    ("<day-of-month>(ordinal) <named-month>year",
                                     -5.568344503761097),
                                    ("<day-of-month> (ordinal)tuesday", -5.568344503761097),
                                    ("hourminute", -4.875197323201151),
                                    ("thursdayhh:mm", -5.568344503761097),
                                    ("this <cycle>wednesday", -5.568344503761097),
                                    ("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
                                     -5.568344503761097),
                                    ("<day-of-month> (non ordinal) <named-month><time> <part-of-day>",
                                     -5.162879395652933),
                                    ("on <date><day-of-month> (non ordinal) <named-month>",
                                     -5.568344503761097),
                                    ("Aprilabout <time-of-day>", -5.568344503761097),
                                    ("thursdayfrom <datetime> - <datetime> (interval)",
                                     -5.162879395652933),
                                    ("<day-of-month> (ordinal)February", -5.568344503761097),
                                    ("thursdayfrom <time-of-day> - <time-of-day> (interval)",
                                     -4.3155815352657285),
                                    ("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
                                     -4.6520537718869415),
                                    ("today/tomorrow/yesterday evening<time-of-day>  o'clock",
                                     -5.568344503761097),
                                    ("fridayintersect", -4.875197323201151),
                                    ("on <date><time-of-day> - <time-of-day> (interval)",
                                     -5.162879395652933),
                                    ("on <date><datetime> - <datetime> (interval)",
                                     -5.568344503761097),
                                    ("this <cycle>monday", -5.568344503761097),
                                    ("April<time-of-day>  o'clock", -5.568344503761097),
                                    ("next <cycle>wednesday", -5.568344503761097),
                                    ("hh:mmintersect", -5.162879395652933),
                                    ("thursday<datetime> - <datetime> (interval)",
                                     -5.162879395652933),
                                    ("<day-of-month> (ordinal)July", -5.568344503761097),
                                    ("thursday<time-of-day> - <time-of-day> (interval)",
                                     -4.6520537718869415),
                                    ("yearmonth", -5.568344503761097),
                                    ("at <time-of-day>intersect", -5.162879395652933),
                                    ("on <date>from <time-of-day> - <time-of-day> (interval)",
                                     -4.6520537718869415),
                                    ("<time> <part-of-day>from <time-of-day> - <time-of-day> (interval)",
                                     -5.568344503761097),
                                    ("dayminute", -2.3902906734131513),
                                    ("<time> <part-of-day>from <datetime> - <datetime> (interval)",
                                     -5.568344503761097),
                                    ("intersectyear", -4.875197323201151),
                                    ("<time-of-day> am|pmsaturday", -5.568344503761097),
                                    ("<ordinal> <cycle> of <time>year", -5.568344503761097),
                                    ("minuteday", -3.3711199264248775),
                                    ("absorption of , after named dayintersect",
                                     -5.568344503761097),
                                    ("Julyyear", -5.568344503761097),
                                    ("year<time-of-day>  o'clock", -5.568344503761097),
                                    ("Octoberyear", -4.4697322150929875),
                                    ("hh:mmon <date>", -5.162879395652933),
                                    ("today/tomorrow/yesterday afternoonat <time-of-day>",
                                     -5.568344503761097),
                                    ("tuesdayin <duration>", -5.568344503761097),
                                    ("Septemberyear", -5.162879395652933),
                                    ("at <time-of-day>on <date>", -5.162879395652933),
                                    ("absorption of , after named daydd/mm", -5.162879395652933),
                                    ("intersectintersect", -5.568344503761097),
                                    ("hh:mmon a named-day", -5.568344503761097),
                                    ("weekday", -4.182050142641207),
                                    ("dayweek", -4.875197323201151),
                                    ("weekyear", -5.162879395652933),
                                    ("on <date>February", -5.568344503761097),
                                    ("Kerstmisyear", -5.568344503761097),
                                    ("<month> dd-dd (interval)year", -5.568344503761097),
                                    ("tomorrowat <time-of-day>", -5.162879395652933),
                                    ("next <cycle>tuesday", -5.568344503761097),
                                    ("monday<day-of-month> (non ordinal) <named-month>",
                                     -5.568344503761097),
                                    ("at <time-of-day>tomorrow", -5.568344503761097),
                                    ("monday<named-month> <day-of-month> (non ordinal)",
                                     -5.568344503761097),
                                    ("<day-of-month> (non ordinal) <named-month>about <time-of-day>",
                                     -5.568344503761097),
                                    ("on a named-day<time-of-day> - <time-of-day> (interval)",
                                     -5.162879395652933),
                                    ("today/tomorrow/yesterday eveningat <time-of-day>",
                                     -5.162879395652933),
                                    ("last <cycle> of <time>year", -5.162879395652933),
                                    ("on a named-day<datetime> - <datetime> (interval)",
                                     -5.568344503761097),
                                    ("<day-of-month> (non ordinal) <named-month>year",
                                     -4.6520537718869415),
                                    ("April<time> <part-of-day>", -5.162879395652933)],
                               n = 193},
                   koData =
                     ClassData{prior = -1.827161396278971, unseen = -5.3612921657094255,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayhour", -3.2771447329921766),
                                    ("on a named-dayafter <time-of-day>", -4.663439094112067),
                                    ("daymonth", -4.257973986003902),
                                    ("monthyear", -3.5648268054439574),
                                    ("yearhour", -4.663439094112067),
                                    ("intersect<time-of-day>  o'clock", -4.663439094112067),
                                    ("<day-of-month> (ordinal)wednesday", -4.257973986003902),
                                    ("Julyintersect", -4.663439094112067),
                                    ("thursdayafter <time-of-day>", -4.663439094112067),
                                    ("intersect<time> <part-of-day>", -4.663439094112067),
                                    ("Marchyear", -4.663439094112067),
                                    ("<day-of-month> (ordinal)year", -4.663439094112067),
                                    ("on a named-dayat <time-of-day>", -4.663439094112067),
                                    ("tuesdayafter <time-of-day>", -4.663439094112067),
                                    ("monthhour", -3.747148362237912),
                                    ("todayat <time-of-day>", -4.663439094112067),
                                    ("on <date>at <time-of-day>", -4.663439094112067),
                                    ("on <date>about <time-of-day>", -4.663439094112067),
                                    ("dayday", -3.5648268054439574),
                                    ("hourhour", -3.970291913552122),
                                    ("thursdayat <time-of-day>", -4.663439094112067),
                                    ("dayyear", -3.970291913552122),
                                    ("<day-of-month> (ordinal)tuesday", -4.257973986003902),
                                    ("thursdayhh:mm", -4.257973986003902),
                                    ("Aprilabout <time-of-day>", -4.663439094112067),
                                    ("Aprilyear", -4.663439094112067),
                                    ("mondayFebruary", -4.663439094112067),
                                    ("yearuntil <time-of-day>", -4.257973986003902),
                                    ("dayminute", -3.5648268054439574),
                                    ("thursday<part-of-day> of <time>", -4.663439094112067),
                                    ("Julyyear", -4.257973986003902),
                                    ("Octoberyear", -4.663439094112067),
                                    ("today/tomorrow/yesterday afternoonat <time-of-day>",
                                     -4.257973986003902),
                                    ("year<time> <part-of-day>", -4.663439094112067),
                                    ("today/tomorrow/yesterday afternoon<time-of-day>  o'clock",
                                     -4.663439094112067),
                                    ("yearday", -4.257973986003902),
                                    ("absorption of , after named dayFebruary", -4.663439094112067),
                                    ("<day-of-month> (non ordinal) <named-month>about <time-of-day>",
                                     -4.663439094112067),
                                    ("after <time-of-day>year", -4.663439094112067),
                                    ("on <date>after <time-of-day>", -4.663439094112067),
                                    ("<day-of-month> (non ordinal) <named-month>year",
                                     -4.663439094112067)],
                               n = 37}}),
       ("<ordinal> <cycle> of <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -1.7047480922384253),
                                    ("ordinals (first..19th)week (grain)intersect",
                                     -1.7047480922384253),
                                    ("weekmonth", -1.2992829841302609),
                                    ("ordinals (first..19th)day (grain)October",
                                     -1.7047480922384253),
                                    ("ordinals (first..19th)week (grain)October",
                                     -1.7047480922384253)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("year (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("from <datetime> - <datetime> (interval)",
        Classifier{okData =
                     ClassData{prior = -0.1823215567939546,
                               unseen = -3.0910424533583156,
                               likelihoods =
                                 HashMap.fromList
                                   [("dd/mm/yyyydd/mm", -2.3513752571634776),
                                    ("hh:mmtime-of-day (latent)", -2.3513752571634776),
                                    ("minuteminute", -2.3513752571634776),
                                    ("time-of-day (latent)time-of-day (latent)",
                                     -2.3513752571634776),
                                    ("hh:mmhh:mm", -2.3513752571634776),
                                    ("dayday", -1.9459101490553135),
                                    ("dd/mm/yyyydd/mm/yyyy", -2.3513752571634776),
                                    ("hourhour", -2.3513752571634776),
                                    ("minutehour", -2.3513752571634776)],
                               n = 5},
                   koData =
                     ClassData{prior = -1.791759469228055, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayhour", -1.8718021769015913),
                                    ("dd/mm/yyyytime-of-day (latent)", -1.8718021769015913)],
                               n = 1}}),
       ("after tomorrow",
        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}}),
       ("next <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.466337068793427),
                                    ("month (grain)", -2.5649493574615367),
                                    ("year (grain)", -2.159484249353372),
                                    ("week (grain)", -1.466337068793427),
                                    ("quarter", -2.5649493574615367), ("year", -2.159484249353372),
                                    ("month", -2.5649493574615367),
                                    ("quarter (grain)", -2.5649493574615367)],
                               n = 9},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("from <time-of-day> - <time-of-day> (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mmtime-of-day (latent)", -1.6094379124341003),
                                    ("minuteminute", -1.6094379124341003),
                                    ("time-of-day (latent)time-of-day (latent)",
                                     -2.3025850929940455),
                                    ("hh:mmhh:mm", -1.6094379124341003),
                                    ("hourhour", -2.3025850929940455),
                                    ("minutehour", -1.6094379124341003)],
                               n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("yyyy-mm-dd",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("year (latent)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 1}}),
       ("couple",
        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}}),
       ("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}}),
       ("yesterday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<ordinal> quarter <year>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("quarteryear", -0.6931471805599453),
                                    ("ordinal (digits)quarter (grain)year", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("today/tomorrow/yesterday morning",
        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}}),
       ("after lunch",
        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}}),
       ("monday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("quarter to|till|before <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Allerheiligen",
        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}}),
       ("nth <time> of <time>",
        Classifier{okData =
                     ClassData{prior = -0.5596157879354228, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -1.0296194171811581),
                                    ("ordinals (first..19th)tuesdayOctober", -1.9459101490553135),
                                    ("ordinals (first..19th)wednesdayintersect",
                                     -1.540445040947149),
                                    ("ordinals (first..19th)tuesdayintersect",
                                     -1.9459101490553135)],
                               n = 4},
                   koData =
                     ClassData{prior = -0.8472978603872037,
                               unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -1.0986122886681098),
                                    ("ordinals (first..19th)wednesdayOctober", -1.3862943611198906),
                                    ("ordinals (first..19th)tuesdaySeptember", -1.791759469228055)],
                               n = 3}}),
       ("the <day-of-month> (non ordinal)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("April",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("today/tomorrow/yesterday evening",
        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}}),
       ("week (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.2188758248682006,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 23},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<part-of-day> of <time>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourhour", -0.6931471805599453),
                                    ("morningtime-of-day (latent)", -0.6931471805599453)],
                               n = 1}}),
       ("Vaderdag",
        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}}),
       ("now",
        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}}),
       ("number,number uur",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <part-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("afternoon", -1.252762968495368),
                                    ("hour", -0.8472978603872037), ("evening", -1.252762968495368)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<day-of-month>(ordinal) <named-month>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinal (digits)July", -1.252762968495368),
                                    ("ordinal (digits)February", -1.252762968495368),
                                    ("month", -0.8472978603872037)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("numbers prefix with -, negative or minus",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.1354942159291497,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -9.53101798043249e-2),
                                    ("fractional number", -2.3978952727983707)],
                               n = 20}}),
       ("Nieuwjaarsdag",
        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}}),
       ("tomorrow",
        Classifier{okData =
                     ClassData{prior = -0.2876820724517809,
                               unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
                   koData =
                     ClassData{prior = -1.3862943611198906,
                               unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("friday",
        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}}),
       ("half to|till|before <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("half an hour",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("fractional number",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
       ("afternoon",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("February",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.1354942159291497,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.4816045409242156),
                                    ("year (grain)", -2.3978952727983707),
                                    ("week (grain)", -1.4816045409242156),
                                    ("day", -2.3978952727983707), ("quarter", -2.3978952727983707),
                                    ("year", -2.3978952727983707),
                                    ("quarter (grain)", -2.3978952727983707),
                                    ("day (grain)", -2.3978952727983707)],
                               n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("minute (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.639057329615259,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 12},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("night",
        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}}),
       ("sunday",
        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}}),
       ("about <time-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.58351893845611,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -1.4759065198095778),
                                    ("time-of-day (latent)", -1.4759065198095778),
                                    ("quarter after|past <integer> (hour-of-day)",
                                     -2.8622008809294686),
                                    ("hour", -0.8472978603872037), ("minute", -2.8622008809294686)],
                               n = 15},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("time-of-day (latent)",
        Classifier{okData =
                     ClassData{prior = -0.24946085963158313,
                               unseen = -4.1588830833596715,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.2113090936672069),
                                    ("integer (0..19)", -1.7452394535931621)],
                               n = 60},
                   koData =
                     ClassData{prior = -1.5105920777974677, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.35667494393873245),
                                    ("integer (0..19)", -1.6094379124341003),
                                    ("couple", -2.3025850929940455)],
                               n = 17}}),
       ("year",
        Classifier{okData =
                     ClassData{prior = -0.1823215567939546, unseen = -3.295836866004329,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 25},
                   koData =
                     ClassData{prior = -1.791759469228055, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 5}}),
       ("last <day-of-week> of <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -0.916290731874155),
                                    ("sundayMarch", -1.6094379124341003),
                                    ("mondayMarch", -1.6094379124341003),
                                    ("sundayintersect", -1.6094379124341003)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<integer> <unit-of-duration>",
        Classifier{okData =
                     ClassData{prior = -1.207415148516909, unseen = -4.406719247264253,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.315007612992603),
                                    ("integer (0..19)year (grain)", -3.295836866004329),
                                    ("integer (numeric)day (grain)", -2.7850112422383386),
                                    ("couplehour (grain)", -3.7013019741124937),
                                    ("integer (0..19)second (grain) ", -3.7013019741124937),
                                    ("integer (0..19)hour (grain)", -3.0081547935525483),
                                    ("second", -3.7013019741124937),
                                    ("integer (numeric)year (grain)", -3.7013019741124937),
                                    ("day", -2.7850112422383386), ("year", -3.0081547935525483),
                                    ("integer (numeric)week (grain)", -3.295836866004329),
                                    ("integer (0..19)month (grain)", -3.7013019741124937),
                                    ("hour", -2.6026896854443837), ("month", -3.7013019741124937),
                                    ("integer (numeric)minute (grain)", -2.4485390056171257),
                                    ("integer (0..19)minute (grain)", -3.295836866004329),
                                    ("minute", -2.1972245773362196),
                                    ("integer (numeric)hour (grain)", -3.7013019741124937),
                                    ("integer (0..19)week (grain)", -2.6026896854443837)],
                               n = 29},
                   koData =
                     ClassData{prior = -0.3552032733272762, unseen = -5.075173815233827,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -3.6826098411003407),
                                    ("integer (0..19)year (grain)", -3.970291913552122),
                                    ("integer (numeric)day (grain)", -3.6826098411003407),
                                    ("integer (0..19)second (grain) ", -4.375757021660286),
                                    ("integer (0..19)hour (grain)", -2.871679624884012),
                                    ("second", -3.6826098411003407),
                                    ("integer (numeric)second (grain) ", -3.970291913552122),
                                    ("integer (numeric)year (grain)", -3.970291913552122),
                                    ("day", -3.2771447329921766), ("year", -3.459466289786131),
                                    ("integer (numeric)week (grain)", -3.970291913552122),
                                    ("integer (0..19)month (grain)", -3.970291913552122),
                                    ("hour", -1.2402628057311365), ("month", -3.459466289786131),
                                    ("integer (numeric)minute (grain)", -3.970291913552122),
                                    ("integer (0..19)minute (grain)", -3.970291913552122),
                                    ("integer (numeric)month (grain)", -3.970291913552122),
                                    ("minute", -3.459466289786131),
                                    ("coupleday (grain)", -4.375757021660286),
                                    ("integer (numeric)hour (grain)", -1.4313180424938456),
                                    ("integer (0..19)day (grain)", -4.375757021660286),
                                    ("integer (0..19)week (grain)", -4.375757021660286)],
                               n = 68}}),
       ("ordinals (first..19th)",
        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}}),
       ("<time-of-day> am|pm",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.7047480922384253),
                                    ("hh:mm", -1.7047480922384253),
                                    ("until <time-of-day>", -1.7047480922384253),
                                    ("hour", -1.2992829841302609), ("minute", -1.7047480922384253)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<duration> after <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("yearday", -0.6931471805599453),
                                    ("<integer> <unit-of-duration>Kerstmis", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("today/tomorrow/yesterday 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}}),
       ("hh:mm",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.6888794541139363,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 38},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("quarter after|past <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -1.5040773967762742),
                                    ("time-of-day (latent)", -1.0986122886681098),
                                    ("hour", -0.8109302162163288)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<duration> before <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("minuteminute", -1.3862943611198906),
                                    ("<integer> <unit-of-duration>time-of-day (latent)",
                                     -1.3862943611198906),
                                    ("minutehour", -1.3862943611198906),
                                    ("<integer> <unit-of-duration>half to|till|before <integer> (hour-of-day)",
                                     -1.3862943611198906)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("quarter of an hour",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("intersect by ','",
        Classifier{okData =
                     ClassData{prior = -8.701137698962981e-2,
                               unseen = -3.5553480614894135,
                               likelihoods =
                                 HashMap.fromList
                                   [("wednesday<day-of-month> (non ordinal) <named-month>",
                                     -2.833213344056216),
                                    ("friday<day-of-month> (non ordinal) <named-month>",
                                     -2.833213344056216),
                                    ("dayday", -1.128465251817791), ("dayyear", -2.833213344056216),
                                    ("fridaydd/mm", -2.4277482359480516),
                                    ("fridaydd/mm/yyyy", -2.4277482359480516),
                                    ("fridayintersect", -2.833213344056216),
                                    ("sunday<named-month> <day-of-month> (non ordinal)",
                                     -2.833213344056216),
                                    ("monday<day-of-month> (non ordinal) <named-month>",
                                     -2.4277482359480516),
                                    ("<named-month> <day-of-month> (non ordinal)year",
                                     -2.833213344056216)],
                               n = 11},
                   koData =
                     ClassData{prior = -2.4849066497880004, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -1.9459101490553135),
                                    ("sundayFebruary", -1.9459101490553135)],
                               n = 1}}),
       ("second (grain) ",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("last <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.8109302162163288), ("sunday", -1.5040773967762742),
                                    ("tuesday", -1.0986122886681098)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("EOM|End of month",
        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}}),
       ("March",
        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}}),
       ("<day-of-month> (ordinal)",
        Classifier{okData =
                     ClassData{prior = -1.2809338454620642,
                               unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..19th)", -0.8472978603872037),
                                    ("ordinal (digits)", -0.5596157879354228)],
                               n = 5},
                   koData =
                     ClassData{prior = -0.325422400434628, unseen = -2.772588722239781,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..19th)", -0.6286086594223742),
                                    ("ordinal (digits)", -0.7621400520468967)],
                               n = 13}}),
       ("Valentijnsdag",
        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}}),
       ("until <time-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.40546510810816444,
                               unseen = -3.7376696182833684,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time> <part-of-day>", -2.327277705584417),
                                    ("<time-of-day>  o'clock", -2.1041341542702074),
                                    ("time-of-day (latent)", -1.9218125974762528),
                                    ("<time-of-day> am|pm", -3.0204248861443626),
                                    ("EOM|End of month", -3.0204248861443626),
                                    ("hour", -1.074514737089049), ("month", -3.0204248861443626)],
                               n = 14},
                   koData =
                     ClassData{prior = -1.0986122886681098, unseen = -3.332204510175204,
                               likelihoods =
                                 HashMap.fromList
                                   [("dd/mm", -2.6026896854443837),
                                    ("dd/mm/yyyy", -2.6026896854443837),
                                    ("half to|till|before <integer> (hour-of-day)",
                                     -2.1972245773362196),
                                    ("day", -2.1972245773362196), ("hh:mm", -1.9095425048844386),
                                    ("minute", -1.5040773967762742)],
                               n = 7}}),
       ("after <duration>",
        Classifier{okData =
                     ClassData{prior = -0.10536051565782628,
                               unseen = -3.258096538021482,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.120263536200091), ("second", -2.5257286443082556),
                                    ("day", -2.5257286443082556),
                                    ("<integer> <unit-of-duration>", -1.0216512475319814),
                                    ("hour", -1.8325814637483102), ("minute", -2.120263536200091),
                                    ("<integer> kwartier", -2.5257286443082556)],
                               n = 9},
                   koData =
                     ClassData{prior = -2.3025850929940455,
                               unseen = -2.3025850929940455,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> <unit-of-duration>", -1.5040773967762742),
                                    ("hour", -1.5040773967762742)],
                               n = 1}}),
       ("evening",
        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}}),
       ("decimal number",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("<time-of-day> until",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("next <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("wednesday", -1.8718021769015913),
                                    ("monday", -1.466337068793427), ("day", -1.1786549963416462),
                                    ("hour", -1.8718021769015913),
                                    ("week-end", -1.8718021769015913)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("last <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.540445040947149),
                                    ("month (grain)", -1.9459101490553135),
                                    ("year (grain)", -1.9459101490553135),
                                    ("week (grain)", -1.540445040947149),
                                    ("year", -1.9459101490553135), ("month", -1.9459101490553135)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("next n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.828641396489095,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -3.1135153092103742),
                                    ("integer (0..19)year (grain)", -3.1135153092103742),
                                    ("integer (numeric)day (grain)", -3.1135153092103742),
                                    ("integer (0..19)second (grain) ", -3.1135153092103742),
                                    ("second", -3.1135153092103742),
                                    ("integer (numeric)year (grain)", -3.1135153092103742),
                                    ("day", -2.4203681286504293), ("year", -2.70805020110221),
                                    ("integer (numeric)week (grain)", -3.1135153092103742),
                                    ("integer (0..19)month (grain)", -3.1135153092103742),
                                    ("hour", -2.70805020110221), ("month", -2.70805020110221),
                                    ("integer (numeric)minute (grain)", -3.1135153092103742),
                                    ("integer (0..19)minute (grain)", -3.1135153092103742),
                                    ("integer (numeric)month (grain)", -3.1135153092103742),
                                    ("minute", -2.70805020110221),
                                    ("coupleday (grain)", -3.1135153092103742),
                                    ("integer (numeric)hour (grain)", -2.70805020110221),
                                    ("integer (0..19)day (grain)", -3.1135153092103742)],
                               n = 13},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.995732273553991,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("tuesday",
        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}}),
       ("about|exactly <duration>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> <unit-of-duration>", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 1}}),
       ("Koningsdag",
        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}}),
       ("in <duration>",
        Classifier{okData =
                     ClassData{prior = -4.652001563489282e-2,
                               unseen = -3.970291913552122,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.5649493574615367), ("second", -3.258096538021482),
                                    ("number,number uur", -3.258096538021482),
                                    ("day", -2.8526314299133175), ("year", -3.258096538021482),
                                    ("<integer> <unit-of-duration>", -1.006804739414987),
                                    ("hour", -2.159484249353372),
                                    ("<integer> and an half hour", -3.258096538021482),
                                    ("minute", -1.6486586255873816),
                                    ("<integer> kwartier", -3.258096538021482)],
                               n = 21},
                   koData =
                     ClassData{prior = -3.0910424533583156,
                               unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> <unit-of-duration>", -1.791759469228055),
                                    ("hour", -1.791759469228055)],
                               n = 1}}),
       ("<datetime> - <datetime> (interval)",
        Classifier{okData =
                     ClassData{prior = -0.2076393647782445,
                               unseen = -3.6375861597263857,
                               likelihoods =
                                 HashMap.fromList
                                   [("intersecthh:mm", -2.001480000210124),
                                    ("on <date>hh:mm", -2.917770732084279),
                                    ("at <time-of-day>hh:mm", -2.917770732084279),
                                    ("minuteminute", -1.213022639845854),
                                    ("hh:mmhh:mm", -2.001480000210124),
                                    ("dayday", -2.2246235515243336),
                                    ("<named-month> <day-of-month> (non ordinal)<named-month> <day-of-month> (non ordinal)",
                                     -2.512305623976115),
                                    ("dd/mmdd/mm", -2.917770732084279)],
                               n = 13},
                   koData =
                     ClassData{prior = -1.6739764335716716, unseen = -2.890371757896165,
                               likelihoods =
                                 HashMap.fromList
                                   [("<named-month> <day-of-month> (non ordinal)July",
                                     -2.1400661634962708),
                                    ("daymonth", -1.7346010553881064),
                                    ("minuteminute", -2.1400661634962708),
                                    ("hh:mmhh:mm", -2.1400661634962708),
                                    ("<named-month> <day-of-month> (non ordinal)August",
                                     -2.1400661634962708)],
                               n = 3}}),
       ("<integer> and an half hour",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("integer (0..19)", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("relative minutes to|till|before|after <integer> (time-of-day)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("hour", -1.2992829841302609),
                                    ("integer (numeric)half to|till|before <integer> (hour-of-day)",
                                     -1.7047480922384253),
                                    ("integer (numeric)time-of-day (latent)", -1.7047480922384253),
                                    ("integer (20..90)time-of-day (latent)", -1.7047480922384253),
                                    ("minute", -1.7047480922384253)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<time-of-day> - <time-of-day> (interval)",
        Classifier{okData =
                     ClassData{prior = -0.3746934494414107, unseen = -3.367295829986474,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mmtime-of-day (latent)", -1.7227665977411035),
                                    ("at <time-of-day>hh:mm", -2.639057329615259),
                                    ("minuteminute", -1.3862943611198906),
                                    ("hh:mmhh:mm", -1.540445040947149),
                                    ("minutehour", -1.540445040947149),
                                    ("at <time-of-day>time-of-day (latent)", -2.639057329615259)],
                               n = 11},
                   koData =
                     ClassData{prior = -1.1631508098056809, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mmtime-of-day (latent)", -1.3862943611198906),
                                    ("minuteminute", -1.6739764335716716),
                                    ("hh:mmhh:mm", -1.6739764335716716),
                                    ("minutehour", -1.3862943611198906)],
                               n = 5}}),
       ("winter",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("last n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.713572066704308,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.5902671654458267),
                                    ("integer (0..19)year (grain)", -2.995732273553991),
                                    ("integer (numeric)day (grain)", -2.5902671654458267),
                                    ("second", -2.5902671654458267),
                                    ("integer (numeric)second (grain) ", -2.5902671654458267),
                                    ("integer (numeric)year (grain)", -2.995732273553991),
                                    ("day", -2.5902671654458267), ("year", -2.5902671654458267),
                                    ("integer (numeric)week (grain)", -2.995732273553991),
                                    ("integer (0..19)month (grain)", -2.995732273553991),
                                    ("month", -2.5902671654458267),
                                    ("integer (numeric)minute (grain)", -2.995732273553991),
                                    ("integer (0..19)minute (grain)", -2.995732273553991),
                                    ("integer (numeric)month (grain)", -2.995732273553991),
                                    ("minute", -2.5902671654458267),
                                    ("integer (0..19)week (grain)", -2.995732273553991)],
                               n = 12},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.833213344056216,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("nth <time> after <time>",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayday", -0.916290731874155),
                                    ("ordinals (first..19th)tuesdayintersect", -0.916290731874155)],
                               n = 1},
                   koData =
                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayday", -0.916290731874155),
                                    ("ordinals (first..19th)tuesdayKerstmis", -0.916290731874155)],
                               n = 1}}),
       ("<named-month> <day-of-month> (non ordinal)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
                               likelihoods =
                                 HashMap.fromList
                                   [("Augustinteger (numeric)", -1.749199854809259),
                                    ("Aprilinteger (numeric)", -2.4423470353692043),
                                    ("month", -0.832909122935104),
                                    ("Februaryinteger (numeric)", -1.749199854809259),
                                    ("Julyinteger (numeric)", -2.03688192726104)],
                               n = 9},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<day-of-month> (non ordinal) <named-month>",
        Classifier{okData =
                     ClassData{prior = -0.2578291093020998,
                               unseen = -3.7612001156935624,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)September", -2.639057329615259),
                                    ("integer (numeric)April", -2.639057329615259),
                                    ("integer (numeric)August", -3.044522437723423),
                                    ("integer (numeric)February", -1.6582280766035324),
                                    ("month", -0.8472978603872037),
                                    ("integer (numeric)July", -2.639057329615259),
                                    ("integer (numeric)March", -2.3513752571634776)],
                               n = 17},
                   koData =
                     ClassData{prior = -1.4816045409242156,
                               unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("month", -1.0986122886681098),
                                    ("integer (numeric)October", -2.1972245773362196),
                                    ("integer (numeric)July", -1.2809338454620642)],
                               n = 5}}),
       ("this|next <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("wednesday", -1.8718021769015913),
                                    ("monday", -0.9555114450274363), ("day", -0.7731898882334817)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<time-of-day> after",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("ordinal (digits)",
        Classifier{okData =
                     ClassData{prior = -0.8109302162163288, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -0.587786664902119, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
       ("quarter (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("last <cycle> of <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("day (grain)October", -1.9459101490553135),
                                    ("daymonth", -1.540445040947149),
                                    ("day (grain)intersect", -1.9459101490553135),
                                    ("weekmonth", -1.540445040947149),
                                    ("week (grain)intersect", -1.9459101490553135),
                                    ("week (grain)September", -1.9459101490553135)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<day-of-month>(ordinal) <named-month> year",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinal (digits)July", -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("morning",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("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}}),
       ("Oudjaar",
        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}}),
       ("after <time-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.587786664902119, unseen = -2.995732273553991,
                               likelihoods =
                                 HashMap.fromList
                                   [("at <time-of-day>", -1.845826690498331),
                                    ("<time-of-day>  o'clock", -1.845826690498331),
                                    ("time-of-day (latent)", -2.2512917986064953),
                                    ("hour", -1.1526795099383855)],
                               n = 5},
                   koData =
                     ClassData{prior = -0.8109302162163288, unseen = -2.890371757896165,
                               likelihoods =
                                 HashMap.fromList
                                   [("Kerstmis", -1.7346010553881064),
                                    ("intersect", -2.1400661634962708),
                                    ("day", -1.4469189829363254), ("hh:mm", -2.1400661634962708),
                                    ("minute", -2.1400661634962708)],
                               n = 4}}),
       ("day (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.639057329615259,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 12},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Moederdag",
        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}}),
       ("<month> dd-dd (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("October", -1.8718021769015913), ("July", -0.9555114450274363),
                                    ("month", -0.7731898882334817)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("composite <duration>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)hour (grain)<integer> + '\"",
                                     -0.6931471805599453),
                                    ("hourminute", -0.6931471805599453)],
                               n = 2}}),
       ("summer",
        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}}),
       ("<hour-of-day> <integer> (as relative minutes)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.890371757896165,
                               likelihoods =
                                 HashMap.fromList
                                   [("hour", -0.7537718023763802),
                                    ("at <time-of-day>integer (numeric)", -2.1400661634962708),
                                    ("<time-of-day>  o'clockinteger (numeric)",
                                     -0.8873031950009028)],
                               n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<integer> kwartier",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("integer (0..19)", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -1.2992829841302609), ("hour", -1.7047480922384253),
                                    ("winter", -1.7047480922384253),
                                    ("week-end", -1.7047480922384253),
                                    ("summer", -1.7047480922384253)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("within <duration>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.6931471805599453),
                                    ("<integer> <unit-of-duration>", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("before yesterday",
        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}}),
       ("August",
        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}})]