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

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

classifiers :: Classifiers
classifiers
  = HashMap.fromList
      [("\25490\28783\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\19996\27491\25945\26837\26525\20027\26085",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("number of 5 minutes after|past <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = -0.2231435513142097, unseen = -3.332204510175204,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)integer (0..10)",
                                     -0.8979415932059586),
                                    ("hour", -0.7308875085427924),
                                    ("<integer> (latent time-of-day)<number>\20010/\20491",
                                     -2.1972245773362196)],
                               n = 12},
                   koData =
                     ClassData{prior = -1.6094379124341003,
                               unseen = -2.3025850929940455,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)integer (0..10)",
                                     -0.8109302162163288),
                                    ("hour", -0.8109302162163288)],
                               n = 3}}),
       ("\21360\24230\20016\25910\33410\31532\22235\22825",
        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}}),
       ("<time> timezone",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day> am|pm", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Thursday",
        Classifier{okData =
                     ClassData{prior = -0.4700036292457356,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -0.9808292530117262,
                               unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
       ("integer (numeric)",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453, unseen = -4.23410650459726,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 67},
                   koData =
                     ClassData{prior = -0.6931471805599453, unseen = -4.23410650459726,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 67}}),
       ("\21355\22622\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("the day before yesterday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22269\38469\28040\36153\32773\26435\30410\26085",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\24314\20891\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\29369\22826\26032\24180",
        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}}),
       ("today",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("mm/dd",
        Classifier{okData =
                     ClassData{prior = -1.6094379124341003,
                               unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
       ("absorption of , after named day",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.6931471805599453), ("Sunday", -0.6931471805599453)],
                               n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("September",
        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}}),
       ("tonight",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("October",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("month (grain)",
        Classifier{okData =
                     ClassData{prior = -0.963437510299857, unseen = -3.4339872044851463,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 29},
                   koData =
                     ClassData{prior = -0.48058573857627246,
                               unseen = -3.891820298110627,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
       ("<time-of-day> o'clock",
        Classifier{okData =
                     ClassData{prior = -1.466337068793427, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 9},
                   koData =
                     ClassData{prior = -0.262364264467491, unseen = -4.143134726391533,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 30}}),
       ("national day",
        Classifier{okData =
                     ClassData{prior = -0.2231435513142097,
                               unseen = -2.3025850929940455,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
                   koData =
                     ClassData{prior = -1.6094379124341003,
                               unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("integer (20,30,40)",
        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 = -5.715841383994864e-2,
                               unseen = -2.9444389791664407,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
                   koData =
                     ClassData{prior = -2.890371757896165, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("\21360\24230\20016\25910\33410\31532\19977\22825",
        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}}),
       ("hour (grain)",
        Classifier{okData =
                     ClassData{prior = -9.53101798043249e-2,
                               unseen = -3.0910424533583156,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
                   koData =
                     ClassData{prior = -2.3978952727983707,
                               unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("\22307\20250\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20803\26086",
        Classifier{okData =
                     ClassData{prior = -1.0986122886681098, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -0.40546510810816444,
                               unseen = -2.3025850929940455,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
       ("\32654\22269\29420\31435\26085",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("intersect",
        Classifier{okData =
                     ClassData{prior = -5.694137640013845e-2,
                               unseen = -6.329720905522696,
                               likelihoods =
                                 HashMap.fromList
                                   [("\20799\31461\33410<part-of-day> <dim time>",
                                     -4.718498871295094),
                                    ("year (numeric with year symbol)\20809\26126\33410",
                                     -4.248495242049359),
                                    ("xxxx year<named-month> <day-of-month>", -4.941642422609305),
                                    ("daymonth", -4.248495242049359),
                                    ("monthday", -1.9459101490553135),
                                    ("next yearSeptember", -5.2293244950610855),
                                    ("year (numeric with year symbol)\25995\26376",
                                     -4.941642422609305),
                                    ("year (numeric with year symbol)\20061\22812\33410",
                                     -4.941642422609305),
                                    ("year (numeric with year symbol)February", -4.718498871295094),
                                    ("xxxx yearintersect", -4.941642422609305),
                                    ("March<time> <day-of-month>", -3.7629874262676584),
                                    ("year (numeric with year symbol)<named-month> <day-of-month>",
                                     -3.494723439672979),
                                    ("monthhour", -3.7629874262676584),
                                    ("year (numeric with year symbol)\22320\29699\19968\23567\26102",
                                     -5.2293244950610855),
                                    ("year (numeric with year symbol)April", -5.2293244950610855),
                                    ("dayday", -2.284885515894645),
                                    ("hourhour", -4.718498871295094),
                                    ("xxxx yearFebruary", -5.634789603169249),
                                    ("year (numeric with year symbol)March", -4.1307122063929755),
                                    ("February<dim time> <part-of-day>", -3.7629874262676584),
                                    ("hourminute", -4.718498871295094),
                                    ("April<time> <day-of-month>", -5.2293244950610855),
                                    ("February<time> <day-of-month>", -2.614364717024887),
                                    ("absorption of , after named day<named-month> <day-of-month>",
                                     -3.619886582626985),
                                    ("year (numeric with year symbol)\22823\25995\26399",
                                     -4.941642422609305),
                                    ("this <cycle><time> <day-of-month>", -4.941642422609305),
                                    ("year (numeric with year symbol)\22235\26092\33410",
                                     -5.2293244950610855),
                                    ("yearmonth", -3.332204510175204),
                                    ("year (numeric with year symbol)\20303\26842\33410",
                                     -5.2293244950610855),
                                    ("dayminute", -4.718498871295094),
                                    ("next <cycle>September", -5.634789603169249),
                                    ("intersect by \",\"<time> <day-of-month>", -3.619886582626985),
                                    ("xxxx yearMarch", -5.634789603169249),
                                    ("absorption of , after named dayintersect",
                                     -3.619886582626985),
                                    ("intersect<time> <day-of-month>", -2.8015762591130335),
                                    ("next <cycle><time> <day-of-month>", -4.941642422609305),
                                    ("tonight<time-of-day> o'clock", -4.718498871295094),
                                    ("year (numeric with year symbol)intersect",
                                     -3.494723439672979),
                                    ("yearday", -2.0794415416798357),
                                    ("absorption of , after named dayFebruary", -4.248495242049359),
                                    ("year (numeric with year symbol)\19971\19971\33410",
                                     -4.248495242049359),
                                    ("year (numeric with year symbol)\36926\36234\33410",
                                     -5.2293244950610855),
                                    ("year (numeric with year symbol)\29369\22826\26032\24180",
                                     -5.2293244950610855),
                                    ("yearminute", -5.2293244950610855),
                                    ("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
                                     -4.718498871295094)],
                               n = 256},
                   koData =
                     ClassData{prior = -2.894068619777491, unseen = -4.3694478524670215,
                               likelihoods =
                                 HashMap.fromList
                                   [("\20799\31461\33410<part-of-day> <dim time>",
                                     -2.159484249353372),
                                    ("dayhour", -2.7472709142554916),
                                    ("year (numeric with year symbol)Sunday", -3.6635616461296463),
                                    ("<dim time> <part-of-day><time-of-day> o'clock",
                                     -3.258096538021482),
                                    ("hourhour", -3.258096538021482),
                                    ("hourminute", -2.7472709142554916),
                                    ("dayminute", -2.7472709142554916),
                                    ("yearday", -3.6635616461296463),
                                    ("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
                                     -2.7472709142554916)],
                               n = 15}}),
       ("half after|past <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20399\20029\33410",
        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}}),
       ("year (grain)",
        Classifier{okData =
                     ClassData{prior = -1.625967214385311, unseen = -2.639057329615259,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 12},
                   koData =
                     ClassData{prior = -0.21905356606268464,
                               unseen = -3.9318256327243257,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
       ("Saturday",
        Classifier{okData =
                     ClassData{prior = -0.8754687373538999,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -0.5389965007326869,
                               unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
       ("next <cycle>",
        Classifier{okData =
                     ClassData{prior = -0.570544858467613, unseen = -3.4965075614664802,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.6739764335716716),
                                    ("month (grain)", -1.5198257537444133),
                                    ("year (grain)", -2.367123614131617),
                                    ("week (grain)", -1.6739764335716716),
                                    ("year", -2.367123614131617), ("month", -1.5198257537444133)],
                               n = 13},
                   koData =
                     ClassData{prior = -0.832909122935104, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.8602012652231115),
                                    ("week (grain)", -0.8602012652231115)],
                               n = 10}}),
       ("last year",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22307\27583\34987\27585\26085",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.970291913552122,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -1.8718021769015913),
                                    ("Monday", -1.8718021769015913), ("day", -0.7323678937132265),
                                    ("Tuesday", -1.5533484457830569)],
                               n = 24},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\35199\36203\25176\25289\33410",
        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}}),
       ("yyyy-mm-dd",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("mm/dd/yyyy",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20811\21704\29305\26222\36838\33410",
        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}}),
       ("\21313\32988\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("evening|night",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20303\26842\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22307\19977\19968\20027\26085",
        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}}),
       ("\30331\38660\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Monday",
        Classifier{okData =
                     ClassData{prior = -0.15415067982725836,
                               unseen = -3.258096538021482,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
                   koData =
                     ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
       ("\19971\19971\33410",
        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}}),
       ("yesterday",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("next year",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<time> <day-of-month>",
        Classifier{okData =
                     ClassData{prior = -0.24946085963158313,
                               unseen = -4.204692619390966,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -1.3564413979702095),
                                    ("integer (20,30,40)", -3.0910424533583156),
                                    ("integer with consecutive unit modifiers", -1.245215762859985),
                                    ("integer (0..10)", -1.4170660197866443),
                                    ("number suffix: \21313|\25342", -2.1102132003465894),
                                    ("compose by multiplication", -3.0910424533583156)],
                               n = 60},
                   koData =
                     ClassData{prior = -1.5105920777974677,
                               unseen = -3.1780538303479458,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (0..10)", -0.3629054936893685),
                                    ("number suffix: \21313|\25342", -2.03688192726104)],
                               n = 17}}),
       ("\19996\27491\25945\22797\27963\33410",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
       ("hh:mm (time-of-day)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.833213344056216,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("relative (1-9) minutes after|past <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)integer (0..10)",
                                     -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 9},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<integer> (latent time-of-day)",
        Classifier{okData =
                     ClassData{prior = -0.2754119798599665,
                               unseen = -3.8066624897703196,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -2.174751721484161),
                                    ("integer (0..10)", -0.1466034741918754)],
                               n = 41},
                   koData =
                     ClassData{prior = -1.4240346891027378, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.4700036292457356),
                                    ("one point 2", -1.1631508098056809)],
                               n = 13}}),
       ("\36926\36234\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("nth <time> of <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
                               likelihoods =
                                 HashMap.fromList
                                   [("Octoberordinal (digits)Monday", -0.6931471805599453),
                                    ("monthday", -0.6931471805599453)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22235\26092\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\19996\27491\25945\22307\21608\20845",
        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}}),
       ("April",
        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}}),
       ("\21360\24230\20016\25910\33410",
        Classifier{okData =
                     ClassData{prior = -0.5108256237659907,
                               unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("\20809\26126\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("week (grain)",
        Classifier{okData =
                     ClassData{prior = -0.8434293836092833,
                               unseen = -3.6635616461296463,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 37},
                   koData =
                     ClassData{prior = -0.5625269981428811,
                               unseen = -3.9318256327243257,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
       ("relative (10-59) minutes after|past <integer> (hour-of-day)",
        Classifier{okData =
                     ClassData{prior = -0.45198512374305727,
                               unseen = -4.127134385045092,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)compose by multiplication",
                                     -2.164963715117998),
                                    ("<integer> (latent time-of-day)integer with consecutive unit modifiers",
                                     -0.9753796482441617),
                                    ("hour", -0.7435780341868373)],
                               n = 28},
                   koData =
                     ClassData{prior = -1.0116009116784799,
                               unseen = -3.6375861597263857,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)number suffix: \21313|\25342",
                                     -1.413693335308005),
                                    ("<integer> (latent time-of-day)integer (0..10)",
                                     -1.413693335308005),
                                    ("hour", -0.7777045685880083)],
                               n = 16}}),
       ("year (numeric with year symbol)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.891820298110627,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 47},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("now",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22823\25995\26399",
        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}}),
       ("\24858\20154\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\29369\22826\26893\26641\33410",
        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}}),
       ("\19996\27491\25945\22797\27963\33410\26143\26399\19968",
        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}}),
       ("\22307\28789\33410\24198\26085",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("numbers prefix with -, negative or minus",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 4}}),
       ("Friday",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
       ("tomorrow",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this year",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22522\30563\22307\20307\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\28595\38376\22238\24402\32426\24565\26085",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\21360\24230\20804\22969\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("next <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -1.3437347467010947),
                                    ("day", -0.7375989431307791), ("Tuesday", -1.3437347467010947)],
                               n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("fractional number",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
       ("Sunday",
        Classifier{okData =
                     ClassData{prior = -4.8790164169432056e-2,
                               unseen = -3.0910424533583156,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
                   koData =
                     ClassData{prior = -3.044522437723423, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("afternoon",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.6375861597263857,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 36},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<duration> from now",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.891820298110627,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
                                    ("minute", -2.772588722239781)],
                               n = 20}}),
       ("\36174\32618\26085",
        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}}),
       ("February",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.258096538021482,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <cycle>",
        Classifier{okData =
                     ClassData{prior = -0.8909729238898653,
                               unseen = -3.6635616461296463,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.1526795099383855),
                                    ("month (grain)", -2.2512917986064953),
                                    ("year (grain)", -2.538973871058276),
                                    ("week (grain)", -1.1526795099383855),
                                    ("year", -2.538973871058276), ("month", -2.2512917986064953)],
                               n = 16},
                   koData =
                     ClassData{prior = -0.5280674302004967, unseen = -3.970291913552122,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.7731898882334817),
                                    ("week (grain)", -0.7731898882334817)],
                               n = 23}}),
       ("minute (grain)",
        Classifier{okData =
                     ClassData{prior = -0.4462871026284195, unseen = -2.890371757896165,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
                   koData =
                     ClassData{prior = -1.0216512475319814,
                               unseen = -2.3978952727983707,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
       ("xxxx year",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (0..10)integer (0..10)integer (0..10)integer (0..10)",
                                     0.0)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<dim time> <part-of-day>",
        Classifier{okData =
                     ClassData{prior = -7.696104113612832e-2,
                               unseen = -4.6913478822291435,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayhour", -0.750305594399894),
                                    ("national dayevening|night", -3.58351893845611),
                                    ("<named-month> <day-of-month>morning", -2.117181869662683),
                                    ("\24773\20154\33410evening|night", -3.58351893845611),
                                    ("\20799\31461\33410afternoon", -3.58351893845611),
                                    ("intersectmorning", -2.117181869662683),
                                    ("<time> <day-of-month>morning", -2.117181869662683),
                                    ("Mondaymorning", -2.4849066497880004)],
                               n = 50},
                   koData =
                     ClassData{prior = -2.6026896854443837, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayhour", -1.1631508098056809),
                                    ("<time> <day-of-month>morning", -1.1631508098056809)],
                               n = 4}}),
       ("<part-of-day> <dim time>",
        Classifier{okData =
                     ClassData{prior = -0.7935659283069926,
                               unseen = -5.0369526024136295,
                               likelihoods =
                                 HashMap.fromList
                                   [("tonight<integer> (latent time-of-day)", -3.4210000089583352),
                                    ("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
                                     -1.6631420914059614),
                                    ("hourhour", -2.322387720290225),
                                    ("afternoon<time-of-day> o'clock", -3.644143560272545),
                                    ("hourminute", -0.9699949108460162),
                                    ("afternoon<integer> (latent time-of-day)", -3.644143560272545),
                                    ("afternoonrelative (1-9) minutes after|past <integer> (hour-of-day)",
                                     -2.72785282839839),
                                    ("afternoonhh:mm (time-of-day)", -3.644143560272545),
                                    ("tonight<time-of-day> o'clock", -3.4210000089583352),
                                    ("afternoonnumber of 5 minutes after|past <integer> (hour-of-day)",
                                     -2.4654885639308985),
                                    ("afternoonhalf after|past <integer> (hour-of-day)",
                                     -3.2386784521643803)],
                               n = 71},
                   koData =
                     ClassData{prior = -0.6018985090948004, unseen = -5.214935757608986,
                               likelihoods =
                                 HashMap.fromList
                                   [("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
                                     -2.3762728087852047),
                                    ("hourhour", -0.9899784476653142),
                                    ("afternoon<time-of-day> o'clock", -1.7754989483562746),
                                    ("hourminute", -2.21375387928743),
                                    ("afternoon<integer> (latent time-of-day)", -1.571899993115035),
                                    ("afternoonnumber of 5 minutes after|past <integer> (hour-of-day)",
                                     -3.82319179172153)],
                               n = 86}}),
       ("<integer> <unit-of-duration>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -3.1354942159291497,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -6.244166900663736,
                               likelihoods =
                                 HashMap.fromList
                                   [("number suffix: \21313|\25342month (grain)",
                                     -4.632785353021065),
                                    ("week", -3.0233474405869645),
                                    ("integer (0..10)month (grain)", -2.745715703988685),
                                    ("integer (0..10)hour (grain)", -3.1067290495260154),
                                    ("<number>\20010/\20491week (grain)", -3.8443279926567944),
                                    ("compose by multiplicationminute (grain)", -4.45046379622711),
                                    ("second", -3.6031659358399066),
                                    ("integer (0..10)day (grain)", -3.1067290495260154),
                                    ("integer (0..10)year (grain)", -3.7573166156671647),
                                    ("<number>\20010/\20491month (grain)", -3.469634543215384),
                                    ("integer (numeric)year (grain)", -2.3710222545472743),
                                    ("integer (0..10)second (grain)", -3.6031659358399066),
                                    ("day", -3.1067290495260154), ("year", -2.1646858215494458),
                                    ("integer (0..10)minute (grain)", -2.984126727433683),
                                    ("number suffix: \21313|\25342minute (grain)",
                                     -4.855928904335275),
                                    ("hour", -3.1067290495260154),
                                    ("integer (0..10)week (grain)", -3.534173064352955),
                                    ("month", -2.008116760857906),
                                    ("integer (numeric)month (grain)", -3.3518515075590005),
                                    ("integer with consecutive unit modifiersminute (grain)",
                                     -4.296313116399852),
                                    ("minute", -2.553343811341229)],
                               n = 246}}),
       ("\32769\26495\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\31709\28779\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<time-of-day> am|pm",
        Classifier{okData =
                     ClassData{prior = -0.4353180712578455, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mm (time-of-day)", -0.9555114450274363),
                                    ("<integer> (latent time-of-day)", -2.159484249353372),
                                    ("hour", -2.159484249353372), ("minute", -0.9555114450274363)],
                               n = 11},
                   koData =
                     ClassData{prior = -1.041453874828161, unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("<integer> (latent time-of-day)", -0.8266785731844679),
                                    ("hour", -0.8266785731844679)],
                               n = 6}}),
       ("one point 2",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.7612001156935624,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (0..10)integer (0..10)", -0.9650808960435872),
                                    ("integer (0..10)number suffix: \21313|\25342",
                                     -1.9459101490553135),
                                    ("integer (0..10)integer with consecutive unit modifiers",
                                     -1.3397743454849977),
                                    ("integer (0..10)<number>\20010/\20491", -2.639057329615259),
                                    ("integer (0..10)compose by multiplication",
                                     -2.639057329615259),
                                    ("integer (0..10)half", -2.639057329615259)],
                               n = 36}}),
       ("intersect by \",\"",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.330733340286331,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -2.2380465718564744),
                                    ("Sunday<named-month> <day-of-month>", -1.6094379124341003),
                                    ("SundayFebruary", -2.2380465718564744),
                                    ("dayday", -0.9501922835498364),
                                    ("Sundayintersect", -1.6094379124341003)],
                               n = 35},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\26837\26525\20027\26085",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
       ("\38463\33298\25289\33410",
        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}}),
       ("integer with consecutive unit modifiers",
        Classifier{okData =
                     ClassData{prior = -5.715841383994864e-2,
                               unseen = -3.6109179126442243,
                               likelihoods =
                                 HashMap.fromList
                                   [("number suffix: \21313|\25342integer (0..10)",
                                     -0.6931471805599453),
                                    ("integer (0..10)integer (0..10)", -0.6931471805599453)],
                               n = 34},
                   koData =
                     ClassData{prior = -2.890371757896165, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (0..10)integer (0..10)", -0.2876820724517809)],
                               n = 2}}),
       ("second (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\19996\27491\25945\32822\31267\21463\38590\26085",
        Classifier{okData =
                     ClassData{prior = -0.3364722366212129,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -1.252762968495368, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("\25289\25746\36335\22307\21608\20845",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<duration> ago",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.891820298110627,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
                                    ("minute", -2.772588722239781)],
                               n = 20}}),
       ("\22307\35806\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("last <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.332204510175204,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.7308875085427924), ("Sunday", -1.2163953243244932),
                                    ("Tuesday", -1.5040773967762742)],
                               n = 12},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20234\26031\20848\26032\24180",
        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}}),
       ("March",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.833213344056216,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\24320\25995\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("the day after tomorrow",
        Classifier{okData =
                     ClassData{prior = -0.5108256237659907,
                               unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("\22307\21608\20845",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
                   koData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
       ("\22919\22899\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20840\29699\38738\24180\26381\21153\26085",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\27431\21335\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20061\22812\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("next <time>",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.7731898882334817), ("Tuesday", -0.7731898882334817)],
                               n = 5},
                   koData =
                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -0.7731898882334817),
                                    ("day", -0.7731898882334817)],
                               n = 5}}),
       ("last <cycle>",
        Classifier{okData =
                     ClassData{prior = -0.8472978603872037,
                               unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.3862943611198906),
                                    ("month (grain)", -1.791759469228055),
                                    ("year (grain)", -2.4849066497880004),
                                    ("week (grain)", -1.3862943611198906),
                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
                               n = 9},
                   koData =
                     ClassData{prior = -0.5596157879354228,
                               unseen = -3.4339872044851463,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.8362480242006186),
                                    ("week (grain)", -0.8362480242006186)],
                               n = 12}}),
       ("\20197\33394\21015\29420\31435\26085",
        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}}),
       ("next n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.605170185988091,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.3978952727983707),
                                    ("integer (0..10)hour (grain)", -2.3978952727983707),
                                    ("<number>\20010/\20491week (grain)", -2.9856819377004897),
                                    ("second", -2.803360380906535),
                                    ("integer (0..10)day (grain)", -2.515678308454754),
                                    ("integer (0..10)year (grain)", -3.2088254890146994),
                                    ("<number>\20010/\20491month (grain)", -2.803360380906535),
                                    ("integer (0..10)second (grain)", -2.803360380906535),
                                    ("day", -2.515678308454754), ("year", -3.2088254890146994),
                                    ("integer (0..10)minute (grain)", -2.649209701079277),
                                    ("hour", -2.3978952727983707),
                                    ("integer (0..10)week (grain)", -2.9856819377004897),
                                    ("month", -2.803360380906535), ("minute", -2.649209701079277)],
                               n = 42},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.772588722239781,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\19975\22307\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\21476\23572\37030\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("number of five minutes",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)],
                               n = 2}}),
       ("\20799\31461\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("Tuesday",
        Classifier{okData =
                     ClassData{prior = -3.922071315328127e-2,
                               unseen = -3.295836866004329,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 25},
                   koData =
                     ClassData{prior = -3.258096538021482, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("\26149\33410",
        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}}),
       ("number.number minutes",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.772588722239781,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (0..10)integer with consecutive unit modifiersminute (grain)",
                                     -1.0986122886681098),
                                    ("integer (0..10)compose by multiplicationminute (grain)",
                                     -1.6094379124341003),
                                    ("minute", -0.7621400520468967)],
                               n = 6}}),
       ("\32822\31267\21463\38590\26085",
        Classifier{okData =
                     ClassData{prior = -1.0296194171811581,
                               unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -0.4418327522790392,
                               unseen = -2.3978952727983707,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
       ("<named-month> <day-of-month>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.762173934797756,
                               likelihoods =
                                 HashMap.fromList
                                   [("Marchinteger (0..10)", -2.5563656137701454),
                                    ("Marchinteger (numeric)", -3.144152278672264),
                                    ("Aprilinteger (numeric)", -3.654977902438255),
                                    ("Februaryinteger (0..10)", -2.6741486494265287),
                                    ("Februarynumber suffix: \21313|\25342", -2.6741486494265287),
                                    ("month", -0.7462570058738938),
                                    ("Februaryinteger (numeric)", -2.5563656137701454),
                                    ("Februaryinteger with consecutive unit modifiers",
                                     -1.8091512119399242)],
                               n = 54},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\21171\21160\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22797\27963\33410\26143\26399\19968",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("number suffix: \19975|\33836",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
       ("\22823\25995\39318\26085",
        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}}),
       ("half",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
       ("two days after tomorrow",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("integer (0..10)",
        Classifier{okData =
                     ClassData{prior = -0.5957987257888164, unseen = -5.407171771460119,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 221},
                   koData =
                     ClassData{prior = -0.8010045764163588, unseen = -5.204006687076795,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 180}}),
       ("last n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.605170185988091,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.9856819377004897),
                                    ("integer (0..10)month (grain)", -3.4965075614664802),
                                    ("integer (0..10)hour (grain)", -2.3978952727983707),
                                    ("second", -2.649209701079277),
                                    ("integer (0..10)day (grain)", -2.9856819377004897),
                                    ("integer (0..10)year (grain)", -3.4965075614664802),
                                    ("<number>\20010/\20491month (grain)", -2.3978952727983707),
                                    ("integer (0..10)second (grain)", -2.649209701079277),
                                    ("day", -2.9856819377004897), ("year", -3.4965075614664802),
                                    ("integer (0..10)minute (grain)", -2.3978952727983707),
                                    ("hour", -2.3978952727983707),
                                    ("integer (0..10)week (grain)", -2.9856819377004897),
                                    ("month", -2.1972245773362196),
                                    ("minute", -2.3978952727983707)],
                               n = 42},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.772588722239781,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("last <duration>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.912023005428146,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.2823823856765264), ("second", -2.505525936990736),
                                    ("day", -2.793208009442517),
                                    ("<integer> <unit-of-duration>", -0.8007778447523107),
                                    ("hour", -2.2823823856765264), ("month", -2.2823823856765264),
                                    ("minute", -2.2823823856765264)],
                               n = 21}}),
       ("ordinal (digits)",
        Classifier{okData =
                     ClassData{prior = -1.252762968495368, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList [("<number>\20010/\20491", -0.1823215567939546)],
                               n = 4},
                   koData =
                     ClassData{prior = -0.3364722366212129,
                               unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList [("integer (0..10)", -8.701137698962981e-2)],
                               n = 10}}),
       ("n <cycle> last",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.02535169073515,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.3978952727983707),
                                    ("integer (0..10)hour (grain)", -2.3978952727983707),
                                    ("<number>\20010/\20491week (grain)", -2.908720896564361),
                                    ("second", -2.908720896564361),
                                    ("integer (0..10)day (grain)", -2.3978952727983707),
                                    ("integer (0..10)year (grain)", -2.908720896564361),
                                    ("<number>\20010/\20491month (grain)", -2.908720896564361),
                                    ("integer (0..10)second (grain)", -2.908720896564361),
                                    ("day", -2.3978952727983707), ("year", -2.908720896564361),
                                    ("integer (0..10)minute (grain)", -2.908720896564361),
                                    ("hour", -2.3978952727983707),
                                    ("integer (0..10)week (grain)", -2.908720896564361),
                                    ("month", -2.908720896564361), ("minute", -2.908720896564361)],
                               n = 20},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.772588722239781,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\24527\24724\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("morning",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.890371757896165,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("week-end",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("number suffix: \21313|\25342",
        Classifier{okData =
                     ClassData{prior = -0.1590646946296874,
                               unseen = -3.4339872044851463,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 29},
                   koData =
                     ClassData{prior = -1.916922612182061, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
       ("\22320\29699\19968\23567\26102",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("day (grain)",
        Classifier{okData =
                     ClassData{prior = -0.38299225225610584,
                               unseen = -2.833213344056216,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
                   koData =
                     ClassData{prior = -1.1451323043030026,
                               unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
       ("\22307\32426\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\22797\27963\33410",
        Classifier{okData =
                     ClassData{prior = -1.0986122886681098,
                               unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -0.40546510810816444,
                               unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
       ("<number>\20010/\20491",
        Classifier{okData =
                     ClassData{prior = -0.2006706954621511,
                               unseen = -3.4011973816621555,
                               likelihoods =
                                 HashMap.fromList [("integer (0..10)", -3.509131981127006e-2)],
                               n = 27},
                   koData =
                     ClassData{prior = -1.7047480922384253,
                               unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("one point 2", -0.9808292530117262),
                                    ("integer (0..10)", -0.4700036292457356)],
                               n = 6}}),
       ("compose by multiplication",
        Classifier{okData =
                     ClassData{prior = -0.3364722366212129,
                               unseen = -2.0794415416798357,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (0..10)number suffix: \21313|\25342",
                                     -0.15415067982725836)],
                               n = 5},
                   koData =
                     ClassData{prior = -1.252762968495368, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("one point 2number suffix: \21313|\25342",
                                     -0.2876820724517809)],
                               n = 2}}),
       ("\24773\20154\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\20116\26092\33410",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\31070\22307\26143\26399\22235",
        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}}),
       ("\25995\26376",
        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}}),
       ("\27861\20196\20043\22812",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.07753744390572,
                               likelihoods =
                                 HashMap.fromList
                                   [("Wednesday", -1.9810014688665833),
                                    ("Monday", -1.9810014688665833), ("day", -0.8415671856782186),
                                    ("hour", -2.9618307218783095), ("Tuesday", -1.6625477377480489),
                                    ("week-end", -2.9618307218783095)],
                               n = 26},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}})]