duckling/Duckling/Ranking/Classifiers/ES_PE.hs
Steven Troxler c44c73fe04 Numeral/ES: Add support for additive concatenations
Summary:
This commit extend Spanish-language support for concatenations
of the form "<higher-order-of-magnitude> <lower>", e.g.
"doscientos tres" (203) or "cuatro mil ventiuno" (4022) to work
not just for hundreds but also for thousands and millions.

Reviewed By: chessai

Differential Revision: D27858133

fbshipit-source-id: 5c6b227ae7dad9009cd636e7ea49c209480c931a
2021-04-23 09:48:07 -07:00

1448 lines
86 KiB
Haskell

-- 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.ES_PE (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("midnight",
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}}),
("Martes",
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}}),
("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = -0.5930637220029626, unseen = -4.174387269895637,
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
koData =
ClassData{prior = -0.8043728156701697, unseen = -3.970291913552122,
likelihoods = HashMap.fromList [("", 0.0)], n = 51}}),
("the day before yesterday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hh(:|.|h)mm (time-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month|named-day> past",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("Martes", -1.791759469228055),
("el <time>", -1.3862943611198906),
("Domingo", -1.791759469228055), ("day", -0.8754687373538999)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("Abril",
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}}),
("dd[/-]mm",
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}}),
("intersect by `de`",
Classifier{okData =
ClassData{prior = -0.19290366612449156,
unseen = -4.890349128221754,
likelihoods =
HashMap.fromList
[("Miercoleseste|en un <cycle>", -4.189654742026425),
("<day-of-month> de <named-month>year (value by adding three composing numbers together)",
-4.189654742026425),
("el <day-of-month> (non ordinal)intersect by `de`",
-3.784189633918261),
("daymonth", -1.8382794848629478),
("monthyear", -3.784189633918261),
("el <day-of-month> (non ordinal)Abril", -4.189654742026425),
("Marteseste|en un <cycle>", -4.189654742026425),
("Miercolesel <cycle> (proximo|que viene)", -4.189654742026425),
("el <time>Marzo", -3.784189633918261),
("el <day-of-month> (non ordinal)Septiembre",
-4.189654742026425),
("Miercolesel proximo <cycle> ", -4.189654742026425),
("Luneseste|en un <cycle>", -4.189654742026425),
("dayyear", -2.1102132003465894),
("dd-dd <month>(interval)year", -4.189654742026425),
("el <time>el <cycle> (proximo|que viene)", -4.189654742026425),
("el <day-of-month> (non ordinal)Julio", -4.189654742026425),
("el <time>year", -3.784189633918261),
("Septiembreyear", -4.189654742026425),
("el <time>la <cycle> pasado", -4.189654742026425),
("day of month (1st)Marzo", -3.2733640101522705),
("el <day-of-month> de <named-month>year", -3.784189633918261),
("el <time>este|en un <cycle>", -3.784189633918261),
("Mayoyear", -4.189654742026425),
("<day-of-month> de <named-month>year", -3.4965075614664802),
("two time tokens separated by \",\"year", -3.4965075614664802),
("el <day-of-month> (non ordinal)Febrero", -4.189654742026425),
("two time tokens separated by \",\"intersect by `de`",
-4.189654742026425),
("dayweek", -2.4849066497880004),
("intersect by `de`year", -3.4965075614664802),
("el <day-of-month> (non ordinal)Marzo", -3.4965075614664802),
("Domingola <cycle> pasado", -4.189654742026425),
("two time tokens separated by \",\"Septiembre",
-4.189654742026425),
("el <day-of-month> (non ordinal)Mayo", -3.4965075614664802)],
n = 47},
koData =
ClassData{prior = -1.7404661748405046, unseen = -4.07753744390572,
likelihoods =
HashMap.fromList
[("Mayoyear (value by adding three composing numbers together)",
-3.367295829986474),
("monthyear", -2.268683541318364),
("Julioyear", -3.367295829986474),
("hourmonth", -2.9618307218783095),
("a las <time-of-day>Julio", -3.367295829986474),
("dayyear", -2.6741486494265287),
("Mayoyear", -2.6741486494265287),
("<day-of-month> de <named-month>year", -2.6741486494265287),
("a las <time-of-day>Enero", -3.367295829986474)],
n = 10}}),
("n pasados <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("number (0..15)a\241o (grain)", -1.3862943611198906),
("year", -1.3862943611198906),
("number (0..15)mes (grain)", -1.3862943611198906),
("month", -1.3862943611198906)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> and half",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", -1.3217558399823195),
("time-of-day (latent)", -1.3217558399823195),
("hour", -0.7621400520468967)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("pasados n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", -2.4849066497880004),
("integer (numeric)dia (grain)", -2.4849066497880004),
("integer (numeric)mes (grain)", -2.4849066497880004),
("second", -2.4849066497880004),
("integer (numeric)minutos (grain)", -2.4849066497880004),
("day", -2.4849066497880004),
("integer (numeric)segundo (grain)", -2.4849066497880004),
("year", -2.4849066497880004), ("month", -2.4849066497880004),
("minute", -2.4849066497880004),
("integer (numeric)a\241o (grain)", -2.4849066497880004),
("number (0..15)semana (grain)", -2.4849066497880004)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [], n = 0}}),
("semana (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.0910424533583156,
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("two time tokens separated by \",\"",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.295836866004329,
likelihoods =
HashMap.fromList
[("Viernesintersect by `de`", -1.466337068793427),
("dayday", -0.8602012652231115),
("Viernesel <day-of-month> de <named-month>",
-2.5649493574615367),
("Viernesel <time>", -2.159484249353372),
("Lunes<day-of-month> de <named-month>", -2.5649493574615367),
("Viernesel <day-of-month> (non ordinal)",
-2.5649493574615367)],
n = 10},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<dim time> de la manana",
Classifier{okData =
ClassData{prior = -0.15415067982725836,
unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", -1.3217558399823195),
("time-of-day (latent)", -1.3217558399823195),
("hour", -0.7621400520468967)],
n = 6},
koData =
ClassData{prior = -1.9459101490553135, unseen = -1.791759469228055,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.916290731874155),
("hour", -0.916290731874155)],
n = 1}}),
("big number 100 to 1K",
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}}),
("del mediod\237a",
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}}),
("D\237a de la Prematuridad Mundial",
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}}),
("Mayo",
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}}),
("Jueves",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month> de <named-month>",
Classifier{okData =
ClassData{prior = -9.097177820572676e-2,
unseen = -3.9889840465642745,
likelihoods =
HashMap.fromList
[("number (0..15)Marzo", -2.871679624884012),
("integer (numeric)Abril", -2.871679624884012),
("integer (numeric)Diciembre", -3.2771447329921766),
("number (0..15)Mayo", -2.583997552432231),
("integer (numeric)Enero", -3.2771447329921766),
("integer (numeric)Marzo", -2.3608540011180215),
("integer (numeric)Febrero", -2.178532444324067),
("integer (numeric)Septiembre", -3.2771447329921766),
("month", -0.8792494601938059),
("integer (numeric)Mayo", -3.2771447329921766),
("integer (numeric)Julio", -3.2771447329921766)],
n = 21},
koData =
ClassData{prior = -2.4423470353692043, unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("month", -1.6094379124341003),
("integer (numeric)Julio", -1.6094379124341003)],
n = 2}}),
("<time-of-day> <part-of-day>",
Classifier{okData =
ClassData{prior = -0.13353139262452263,
unseen = -4.3694478524670215,
likelihoods =
HashMap.fromList
[("<day-of-month> de <named-month>in the <part-of-day>",
-3.6635616461296463),
("dayhour", -2.277267285009756),
("Lunesin the <part-of-day>", -3.6635616461296463),
("tomorrowin the <part-of-day>", -3.6635616461296463),
("a las <time-of-day>del mediod\237a", -3.6635616461296463),
("el <day-of-month> de <named-month>in the <part-of-day>",
-3.6635616461296463),
("hourhour", -2.159484249353372),
("a las <time-of-day>in the <part-of-day>",
-2.4107986776342782),
("intersectin the <part-of-day>", -3.6635616461296463),
("minutehour", -1.717651497074333),
("intersect by `de`in the <part-of-day>", -3.6635616461296463),
("<hour-of-day> and halfin the <part-of-day>",
-3.258096538021482),
("<hour-of-day> <integer> (as relative minutes)in the <part-of-day>",
-3.6635616461296463),
("<hour-of-day> and <relative minutes>del mediod\237a",
-3.258096538021482),
("el <time>in the <part-of-day>", -3.6635616461296463),
("<hour-of-day> and quarterin the <part-of-day>",
-2.7472709142554916),
("yesterdayin the <part-of-day>", -3.6635616461296463),
("time-of-day (latent)in the <part-of-day>",
-2.7472709142554916)],
n = 28},
koData =
ClassData{prior = -2.0794415416798357,
unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("yearhour", -2.70805020110221),
("year (latent)del mediod\237a", -2.70805020110221),
("monthhour", -2.70805020110221),
("hourhour", -2.3025850929940455),
("Febreroin the <part-of-day>", -2.70805020110221),
("time-of-day (latent)in the <part-of-day>",
-2.3025850929940455)],
n = 4}}),
("de <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("monthday", -1.3862943611198906),
("Diciembretime-of-day (latent)", -1.3862943611198906),
("monthhour", -1.3862943611198906),
("Diciembre<day-of-month> de <named-month>",
-1.3862943611198906)],
n = 2}}),
("<time-of-day> horas",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("intersect",
Classifier{okData =
ClassData{prior = -0.20585205420414873,
unseen = -4.663439094112067,
likelihoods =
HashMap.fromList
[("<day-of-month> de <named-month>in the <part-of-day>",
-3.960813169597578),
("dayhour", -2.0149030205422647),
("Lunesin the <part-of-day>", -3.960813169597578),
("tomorrowin the <part-of-day>", -3.960813169597578),
("el <day-of-month> de <named-month>in the <part-of-day>",
-3.960813169597578),
("D\237a Internacional de las Cooperativasel <time>",
-3.960813169597578),
("hourhour", -3.044522437723423),
("now<hour-of-day> minus quarter (as relative minutes)",
-3.960813169597578),
("dayyear", -3.044522437723423),
("a las <time-of-day>in the <part-of-day>", -2.70805020110221),
("intersectin the <part-of-day>", -3.960813169597578),
("<named-month> <day-of-month>del <year>", -3.960813169597578),
("minutehour", -2.256065077359153),
("intersect by `de`in the <part-of-day>", -3.960813169597578),
("now<hour-of-day> and <relative minutes>", -3.960813169597578),
("<hour-of-day> and halfin the <part-of-day>",
-3.5553480614894135),
("tomorrowa las <time-of-day>", -3.5553480614894135),
("Miercoles<time-of-day> <part-of-day>", -3.960813169597578),
("<hour-of-day> <integer> (as relative minutes)in the <part-of-day>",
-3.960813169597578),
("Miercoles<dim time> de la manana", -3.960813169597578),
("dayminute", -3.044522437723423),
("<named-month> <day-of-month>el <time>", -3.960813169597578),
("Miercolesa las <time-of-day>", -3.960813169597578),
("el <time>in the <part-of-day>", -3.960813169597578),
("Miercolesintersect", -3.960813169597578),
("nowa las <time-of-day>", -3.5553480614894135),
("D\237a Internacional de las Cooperativasdel <year>",
-3.960813169597578),
("<hour-of-day> and quarterin the <part-of-day>",
-3.044522437723423),
("yesterdayin the <part-of-day>", -3.960813169597578)],
n = 35},
koData =
ClassData{prior = -1.6817585740137264, unseen = -3.951243718581427,
likelihoods =
HashMap.fromList
[("hourday", -3.2386784521643803),
("dayhour", -2.5455312716044354),
("<day-of-month> de <named-month>a las <time-of-day>",
-3.2386784521643803),
("<time-of-day> am|pm<day-of-month> de <named-month>",
-3.2386784521643803),
("monthhour", -2.833213344056216),
("now<hour-of-day> and <relative minutes>",
-3.2386784521643803),
("Diciembrea las <time-of-day>", -3.2386784521643803),
("dayminute", -2.833213344056216),
("Febreroin the <part-of-day>", -3.2386784521643803),
("nowa las <time-of-day>", -2.5455312716044354)],
n = 8}}),
("Miercoles",
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}}),
("a las <time-of-day>",
Classifier{okData =
ClassData{prior = -7.320340402329494e-2,
unseen = -5.135798437050262,
likelihoods =
HashMap.fromList
[("<hour-of-day> and half", -3.7436043538031827),
("<time-of-day> horas", -4.436751534363128),
("<hour-of-day> and quarter", -3.520460802488973),
("time-of-day (latent)", -1.4163266482187657),
("<hour-of-day> and <relative minutes>", -3.3381392456950185),
("<time-of-day> am|pm", -2.5649493574615367),
("<hour-of-day> minus <integer> (as relative minutes)",
-4.436751534363128),
("<hour-of-day> minus quarter (as relative minutes)",
-4.0312864262549635),
("hour", -1.3686985992295109), ("minute", -1.4923125551966876),
("<hour-of-day> <integer> (as relative minutes)",
-2.644992065135073)],
n = 79},
koData =
ClassData{prior = -2.6508917872622613,
unseen = -3.1780538303479458,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -1.5260563034950494),
("<hour-of-day> and <relative minutes>", -2.03688192726104),
("hour", -1.5260563034950494), ("minute", -2.03688192726104)],
n = 6}}),
("minutos (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("this <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("Lunes", -0.6931471805599453), ("day", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("year (latent)",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("number (20..90)", 0.0)],
n = 1}}),
("Viernes",
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}}),
("el <cycle> (proximo|que viene)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.70805020110221,
likelihoods =
HashMap.fromList
[("week", -1.540445040947149),
("semana (grain)", -1.540445040947149),
("mes (grain)", -1.9459101490553135),
("year", -1.9459101490553135),
("a\241o (grain)", -1.9459101490553135),
("month", -1.9459101490553135)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("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}}),
("<time-of-day> de la tarde",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("time-of-day (latent)number (0..15)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> and quarter",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.0910424533583156,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", -1.4350845252893227),
("time-of-day (latent)", -1.252762968495368),
("hour", -0.7419373447293773)],
n = 9},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("dentro de <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("<integer> <unit-of-duration>", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("hace <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("week", -1.8718021769015913), ("year", -1.8718021769015913),
("<integer> <unit-of-duration>", -0.9555114450274363),
("hour", -1.8718021769015913), ("month", -1.8718021769015913)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("el <day-of-month> de <named-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.4011973816621555,
likelihoods =
HashMap.fromList
[("number (0..15)Marzo", -2.6741486494265287),
("integer (numeric)Abril", -2.6741486494265287),
("number (0..15)Mayo", -2.268683541318364),
("integer (numeric)Marzo", -2.268683541318364),
("integer (numeric)Febrero", -2.6741486494265287),
("integer (numeric)Septiembre", -2.6741486494265287),
("month", -0.9694005571881036),
("integer (numeric)Mayo", -2.6741486494265287),
("integer (numeric)Julio", -2.6741486494265287)],
n = 10},
koData =
ClassData{prior = -infinity, unseen = -2.3025850929940455,
likelihoods = HashMap.fromList [], n = 0}}),
("D\237a Mundial de la Lengua \193rabe",
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}}),
("D\237a de los Inocentes de Abril",
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}}),
("dia <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("number (0..15)", 0.0)], n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("el <time>",
Classifier{okData =
ClassData{prior = -2.6668247082161294e-2,
unseen = -4.48863636973214,
likelihoods =
HashMap.fromList
[("Martes", -3.378724525810097),
("<named-month|named-day> past", -3.378724525810097),
("dd[/-]mm", -3.0910424533583156),
("intersect by `de`", -2.280112237141987),
("<day-of-month> de <named-month>", -2.0794415416798357),
("<time-of-day> <part-of-day>", -3.784189633918261),
("intersect", -3.784189633918261),
("Miercoles", -3.378724525810097),
("Domingo", -3.378724525810097), ("Lunes", -3.784189633918261),
("day", -0.9509762898620451), ("year", -3.378724525810097),
("day of month (1st)", -3.378724525810097),
("<named-month|named-day> next", -3.784189633918261),
("hour", -3.378724525810097)],
n = 37},
koData =
ClassData{prior = -3.6375861597263857,
unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("noon", -2.1972245773362196), ("hour", -2.1972245773362196)],
n = 1}}),
("Septiembre",
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}}),
("<thousands> 0..999",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("1K or 1M in multipliable form<hundreds> 0..99",
-0.2876820724517809)],
n = 2},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("1K or 1M in multipliable formbig number 100 to 1K",
-0.2876820724517809)],
n = 2}}),
("now",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinals (primero..10)",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12}}),
("invierno",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("hour", -0.6931471805599453),
("evening", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("number (0..15)",
Classifier{okData =
ClassData{prior = -0.13858616328614667,
unseen = -4.330733340286331,
likelihoods = HashMap.fromList [("", 0.0)], n = 74},
koData =
ClassData{prior = -2.044755983691946, unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
("D\237a Internacional de las Cooperativas",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("Domingo",
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}}),
("este|en un <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.70805020110221,
likelihoods =
HashMap.fromList
[("week", -1.0296194171811581),
("semana (grain)", -1.0296194171811581),
("year", -1.9459101490553135),
("a\241o (grain)", -1.9459101490553135)],
n = 5},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("numbers prefix with -, negative or minus",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.2006706954621511),
("number (0..15)", -1.7047480922384253)],
n = 9}}),
("Lunes",
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}}),
("dd-dd <month>(interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("Julio", -0.6931471805599453), ("month", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("tomorrow",
Classifier{okData =
ClassData{prior = -0.12188981760903689, unseen = -4.02535169073515,
likelihoods = HashMap.fromList [("", 0.0)], n = 54},
koData =
ClassData{prior = -2.164963715117998, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
("mes (grain)",
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}}),
("verano",
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}}),
("number (20..90)",
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}}),
("<day-of-week> <day-of-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("day", -0.6931471805599453),
("Juevesinteger (numeric)", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("fractional number",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
("1K or 1M in multipliable form",
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}}),
("afternoon",
Classifier{okData =
ClassData{prior = -0.2876820724517809,
unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = -1.3862943611198906,
unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = -0.6592456288842639, unseen = -3.891820298110627,
likelihoods =
HashMap.fromList
[("integer (numeric)", -1.3062516534463542),
("number (0..15)", -0.3448404862917295)],
n = 45},
koData =
ClassData{prior = -0.7282385003712154, unseen = -3.828641396489095,
likelihoods =
HashMap.fromList
[("integer (numeric)", -1.5040773967762742),
("number (0..15)", -0.7156200364120039),
("integer (0-9) with two digits", -1.241713132308783)],
n = 42}}),
("<hour-of-day> and <relative minutes>",
Classifier{okData =
ClassData{prior = -0.3364722366212129, unseen = -3.332204510175204,
likelihoods =
HashMap.fromList
[("time-of-day (latent)number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
-2.1972245773362196),
("time-of-day (latent)number (0..15)", -2.6026896854443837),
("a las <time-of-day>number (20..90)", -2.1972245773362196),
("a las <time-of-day>number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
-2.1972245773362196),
("hour", -0.8979415932059586),
("a las <time-of-day>number (0..15)", -2.6026896854443837),
("time-of-day (latent)number (20..90)", -2.1972245773362196)],
n = 10},
koData =
ClassData{prior = -1.252762968495368, unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("a las <time-of-day>number (20..90)", -1.6094379124341003),
("hour", -1.0986122886681098),
("time-of-day (latent)number (20..90)", -1.6094379124341003)],
n = 4}}),
("year",
Classifier{okData =
ClassData{prior = -0.8266785731844679,
unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.5108256237659907),
("<thousands> 0..999", -1.2039728043259361)],
n = 7},
koData =
ClassData{prior = -0.5753641449035618,
unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.6931471805599453),
("<thousands> 0..999", -1.3862943611198906),
("1K or 1M in multipliable form", -1.3862943611198906)],
n = 9}}),
("en <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.6635616461296463,
likelihoods =
HashMap.fromList
[("week", -2.9444389791664407), ("second", -2.9444389791664407),
("day", -2.538973871058276), ("year", -2.538973871058276),
("<integer> <unit-of-duration>", -0.8649974374866046),
("hour", -2.2512917986064953), ("month", -2.9444389791664407),
("minute", -1.845826690498331)],
n = 15},
koData =
ClassData{prior = -infinity, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("n <cycle> (proximo|que viene)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", -1.791759469228055),
("integer (numeric)semana (grain)", -1.791759469228055),
("year", -1.791759469228055),
("number (0..15)mes (grain)", -1.791759469228055),
("month", -1.791759469228055),
("integer (numeric)a\241o (grain)", -1.791759469228055)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = -0.587786664902119, unseen = -4.143134726391533,
likelihoods =
HashMap.fromList
[("week", -3.028522096376982),
("integer (numeric)hora (grain)", -3.4339872044851463),
("integer (numeric)dia (grain)", -3.4339872044851463),
("number (0..15)segundo (grain)", -3.4339872044851463),
("second", -3.4339872044851463),
("number (0..15)a\241o (grain)", -3.028522096376982),
("integer (numeric)minutos (grain)", -2.740840023925201),
("day", -3.028522096376982), ("year", -2.740840023925201),
("number (0..15)mes (grain)", -3.028522096376982),
("number (0..15)hora (grain)", -2.740840023925201),
("hour", -2.3353749158170367), ("month", -3.028522096376982),
("number (0..15)dia (grain)", -3.4339872044851463),
("number (0..15)minutos (grain)", -3.028522096376982),
("number (16..19 21..29)hora (grain)", -3.4339872044851463),
("minute", -2.3353749158170367),
("integer (numeric)a\241o (grain)", -3.4339872044851463),
("number (0..15)semana (grain)", -3.028522096376982)],
n = 20},
koData =
ClassData{prior = -0.8109302162163288, unseen = -4.007333185232471,
likelihoods =
HashMap.fromList
[("week", -2.890371757896165),
("integer (numeric)hora (grain)", -2.890371757896165),
("integer (numeric)dia (grain)", -2.890371757896165),
("integer (numeric)mes (grain)", -3.295836866004329),
("second", -2.890371757896165),
("number (0..15)a\241o (grain)", -3.295836866004329),
("integer (numeric)semana (grain)", -3.295836866004329),
("integer (numeric)minutos (grain)", -2.890371757896165),
("day", -2.890371757896165),
("integer (numeric)segundo (grain)", -2.890371757896165),
("year", -2.6026896854443837),
("number (0..15)mes (grain)", -2.890371757896165),
("hour", -2.890371757896165), ("month", -2.6026896854443837),
("minute", -2.890371757896165),
("integer (numeric)a\241o (grain)", -2.890371757896165),
("number (0..15)semana (grain)", -3.295836866004329)],
n = 16}}),
("proximas n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("integer (numeric)hora (grain)", -2.4849066497880004),
("integer (numeric)dia (grain)", -2.4849066497880004),
("second", -2.4849066497880004),
("number (0..15)a\241o (grain)", -2.4849066497880004),
("integer (numeric)minutos (grain)", -2.4849066497880004),
("day", -2.4849066497880004),
("integer (numeric)segundo (grain)", -2.4849066497880004),
("year", -2.4849066497880004),
("number (0..15)mes (grain)", -2.4849066497880004),
("hour", -2.4849066497880004), ("month", -2.4849066497880004),
("minute", -2.4849066497880004)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> am|pm",
Classifier{okData =
ClassData{prior = -0.7069405026922811, unseen = -4.356708826689592,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", -1.7788560643921472),
("time-of-day (latent)", -3.6506582412937383),
("hour", -3.245193133185574), ("minute", -0.7884573603642702),
("<hour-of-day> <integer> (as relative minutes)",
-1.1657515915057381)],
n = 36},
koData =
ClassData{prior = -0.6795415285041666, unseen = -4.382026634673881,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -1.1113513144455396),
("hour", -1.1113513144455396), ("minute", -1.8044984950054848),
("<hour-of-day> <integer> (as relative minutes)",
-1.8044984950054848)],
n = 37}}),
("n proximas <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", -1.791759469228055),
("integer (numeric)mes (grain)", -1.791759469228055),
("integer (numeric)semana (grain)", -1.791759469228055),
("year", -1.791759469228055), ("month", -1.791759469228055),
("integer (numeric)a\241o (grain)", -1.791759469228055)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("ano nuevo",
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}}),
("la <cycle> pasado",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("week", -1.2039728043259361),
("semana (grain)", -1.2039728043259361),
("year", -1.6094379124341003),
("a\241o (grain)", -1.6094379124341003)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("la pasado <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("mes (grain)", -0.6931471805599453),
("month", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods =
HashMap.fromList [("number (20..90)number (0..15)", 0.0)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("day of month (1st)",
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}}),
("Sabado",
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}}),
("Diciembre",
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}}),
("D\237a de la Cero Discriminaci\243n",
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}}),
("a\241o (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("Julio",
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}}),
("<hundreds> 0..99",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods =
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> minus <integer> (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("time-of-day (latent)number (0..15)", -1.252762968495368),
("hour", -0.8472978603872037),
("a las <time-of-day>number (0..15)", -1.252762968495368)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month|named-day> next",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("Martes", -1.6094379124341003),
("Miercoles", -1.6094379124341003),
("el <time>", -1.6094379124341003),
("day", -0.916290731874155)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("number (16..19 21..29)",
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}}),
("<dim time> de la tarde",
Classifier{okData =
ClassData{prior = -5.406722127027582e-2,
unseen = -3.784189633918261,
likelihoods =
HashMap.fromList
[("<hour-of-day> and half", -2.662587827025453),
("a las <time-of-day>", -1.6817585740137264),
("<hour-of-day> and quarter", -2.151762203259462),
("time-of-day (latent)", -2.151762203259462),
("hour", -1.563975538357343), ("minute", -1.363304842895192),
("<hour-of-day> <integer> (as relative minutes)",
-3.068052935133617)],
n = 18},
koData =
ClassData{prior = -2.9444389791664407,
unseen = -2.3025850929940455,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -1.5040773967762742),
("hour", -1.5040773967762742)],
n = 1}}),
("el proximo <cycle> ",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.70805020110221,
likelihoods =
HashMap.fromList
[("week", -1.540445040947149),
("semana (grain)", -1.540445040947149),
("mes (grain)", -1.9459101490553135),
("year", -1.9459101490553135),
("a\241o (grain)", -1.9459101490553135),
("month", -1.9459101490553135)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> minus quarter (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", -1.2992829841302609),
("time-of-day (latent)", -1.2992829841302609),
("hour", -0.7884573603642702)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("the day after tomorrow",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("del <year>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("dd[/-.]mm[/-.]yyyy",
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}}),
("noon",
Classifier{okData =
ClassData{prior = -0.2876820724517809,
unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -1.3862943611198906,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("evening",
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}}),
("Febrero",
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}}),
("next week",
Classifier{okData =
ClassData{prior = -0.40546510810816444,
unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("week", -0.6931471805599453),
("semana (grain)", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -1.0986122886681098,
unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("week", -0.6931471805599453),
("semana (grain)", -0.6931471805599453)],
n = 1}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = -0.916290731874155, unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("minuteminute", -1.791759469228055),
("dayday", -1.791759469228055),
("hh(:|.|h)mm (time-of-day)hh(:|.|h)mm (time-of-day)",
-1.791759469228055),
("<day-of-month> de <named-month><day-of-month> de <named-month>",
-1.791759469228055)],
n = 2},
koData =
ClassData{prior = -0.5108256237659907, unseen = -2.70805020110221,
likelihoods =
HashMap.fromList
[("monthday", -1.9459101490553135),
("dayyear", -1.540445040947149),
("Diciembre<day-of-month> de <named-month>",
-1.9459101490553135),
("dd[/-]mmyear", -1.540445040947149)],
n = 3}}),
("Enero",
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}}),
("el <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = -6.453852113757118e-2,
unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.2682639865946794),
("number (0..15)", -1.4469189829363254)],
n = 15},
koData =
ClassData{prior = -2.772588722239781, unseen = -1.3862943611198906,
likelihoods =
HashMap.fromList [("integer (numeric)", -0.40546510810816444)],
n = 1}}),
("segundo (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("next week (alt)",
Classifier{okData =
ClassData{prior = -0.3364722366212129,
unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", -0.6931471805599453),
("semana (grain)", -0.6931471805599453)],
n = 5},
koData =
ClassData{prior = -1.252762968495368, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("week", -0.6931471805599453),
("semana (grain)", -0.6931471805599453)],
n = 2}}),
("Marzo",
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}}),
("<named-month> <day-of-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("month", -0.6931471805599453),
("Mayointeger (numeric)", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("dia (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("in the <part-of-day>",
Classifier{okData =
ClassData{prior = -0.2682639865946794,
unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("afternoon", -1.455287232606842),
("hour", -0.7621400520468967), ("evening", -2.0149030205422647),
("morning", -1.791759469228055)],
n = 13},
koData =
ClassData{prior = -1.4469189829363254,
unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("afternoon", -1.3862943611198906),
("hour", -0.8754687373538999),
("morning", -1.3862943611198906)],
n = 4}}),
("morning",
Classifier{okData =
ClassData{prior = -0.40546510810816444,
unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = -1.0986122886681098,
unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("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}}),
("Nochevieja",
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}}),
("year (value by adding three composing numbers together)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods =
HashMap.fromList [("big number 100 to 1Knumber (20..90)", 0.0)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hora (grain)",
Classifier{okData =
ClassData{prior = -0.15415067982725836,
unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = -1.9459101490553135,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("right now",
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}}),
("Navidad",
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}}),
("<hour-of-day> <integer> (as relative minutes)",
Classifier{okData =
ClassData{prior = -0.40546510810816444,
unseen = -3.9889840465642745,
likelihoods =
HashMap.fromList
[("a las <time-of-day>integer (0-9) with two digits",
-1.4853852637641216),
("time-of-day (latent)integer (0-9) with two digits",
-1.405342556090585),
("time-of-day (latent)number (0..15)", -3.2771447329921766),
("hour", -0.7514160886839211)],
n = 24},
koData =
ClassData{prior = -1.0986122886681098,
unseen = -3.4011973816621555,
likelihoods =
HashMap.fromList
[("time-of-day (latent)integer (numeric)", -1.9810014688665833),
("time-of-day (latent)number (0..15)", -1.0647107369924282),
("hour", -0.8023464725249373)],
n = 12}}),
("integer (0-9) with two digits",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.70805020110221,
likelihoods =
HashMap.fromList
[("integer (numeric)", -1.252762968495368),
("number (0..15)", -0.3364722366212129)],
n = 12},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("ce <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("invierno", -2.0794415416798357),
("Lunes", -2.0794415416798357), ("verano", -2.0794415416798357),
("day", -1.3862943611198906), ("hour", -1.6739764335716716),
("week-end", -1.6739764335716716)],
n = 5},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}})]