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Time&Duration/ZH: support Cantonese and more common expressions (#516-2) (#523)
Summary: **2nd set of changes from pull request https://github.com/facebook/duckling/issues/516 Supporting Cantonese and more common expressions in Chinese. Adding rules file for Duration/ZH. Pull Request resolved: https://github.com/facebook/duckling/pull/523 Reviewed By: haoxuany Differential Revision: D23428901 Pulled By: chessai fbshipit-source-id: 6d04c97b63bac966eb61d77cab2f08f7543dbbf0
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@ -47,4 +47,60 @@ allExamples = concat
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[ "10 月"
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, "十 月"
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]
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, examples (DurationData 30 Minute)
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[ "30分鐘"
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, "半個鐘"
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, "半小時"
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, "三十分鐘"
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, "卅分鐘"
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]
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, examples (DurationData 12 Hour)
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[ "半日"
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, "半天"
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, "十二小時"
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, "十二個鐘"
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]
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, examples (DurationData 90 Minute)
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[ "一個半小時"
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, "個半小時"
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, "個半鐘"
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, "一個半鐘"
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, "1.5小時"
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, "一個小時三十分鐘"
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, "一小時零三十分鐘"
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]
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, examples (DurationData 130 Minute)
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[ "兩小時十分"
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, "一百三十分鐘"
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]
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, examples (DurationData 3615 Second)
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[ "一小時零十五秒"
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, "一個鐘零十五秒"
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]
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, examples (DurationData 45 Day)
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[ "一個半月"
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, "個半月"
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]
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, examples (DurationData 27 Month)
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[ "兩年零三個月"
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, "廿七個月"
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]
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, examples (DurationData 330 Second)
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[ "五個半分鐘"
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, "五點五分鐘"
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, "5.5分鐘"
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, "五分三十秒"
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, "五分半鐘"
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, "五分半"
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]
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, examples (DurationData 90 Second)
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[ "一分半鐘"
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, "一分半"
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, "分半鐘"
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, "分半"
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]
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, examples (DurationData 15 Minute)
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[ "3個字"
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, "三個字"
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]
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]
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301
Duckling/Duration/ZH/Rules.hs
Normal file
301
Duckling/Duration/ZH/Rules.hs
Normal file
@ -0,0 +1,301 @@
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-- Copyright (c) 2016-present, Facebook, Inc.
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-- All rights reserved.
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--
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-- This source code is licensed under the BSD-style license found in the
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-- LICENSE file in the root directory of this source tree.
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{-# LANGUAGE GADTs #-}
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{-# LANGUAGE LambdaCase #-}
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{-# LANGUAGE NoRebindableSyntax #-}
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{-# LANGUAGE OverloadedStrings #-}
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module Duckling.Duration.ZH.Rules
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( rules
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) where
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import Prelude
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import qualified Data.Text as Text
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import Duckling.Dimensions.Types
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import Duckling.Duration.Helpers
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import Duckling.Duration.Types (DurationData(..))
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import Duckling.Numeral.Helpers (parseInteger, decimalsToDouble)
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import Duckling.Numeral.Types (NumeralData(..))
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import Duckling.Regex.Types
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import Duckling.Types
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import qualified Duckling.Duration.Types as TDuration
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import qualified Duckling.Numeral.Types as TNumeral
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import qualified Duckling.TimeGrain.Types as TG
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ruleDurationNFiveMinutes :: Rule
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ruleDurationNFiveMinutes = Rule
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{ name = "number of five minutes"
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, pattern =
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[ Predicate isNatural
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, regex "個字"
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]
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, prod = \case
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(Token Numeral NumeralData{TNumeral.value = v}:_) ->
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Just $ Token Duration $ duration TG.Minute $ floor v * 5
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_ -> Nothing
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}
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ruleDurationHalfATimeGrain :: Rule
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ruleDurationHalfATimeGrain = Rule
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{ name = "half a <time-grain>"
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, pattern =
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[ regex "半"
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, dimension TimeGrain
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]
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, prod = \case
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(_:Token TimeGrain grain:_) -> Token Duration <$> nPlusOneHalf grain 0
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_ -> Nothing
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}
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ruleDurationOneGrainAndHalf :: Rule
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ruleDurationOneGrainAndHalf = Rule
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{ name = "a <unit-of-duration> and a half"
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, pattern =
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[ regex "一個半|個半"
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, dimension TimeGrain
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]
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, prod = \case
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(_:Token TimeGrain grain:_) -> Token Duration <$> nPlusOneHalf grain 1
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_ -> Nothing
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}
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ruleDurationOneGrainAndHalf2 :: Rule
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ruleDurationOneGrainAndHalf2 = Rule
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{ name = "a <unit-of-duration> and a half"
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, pattern =
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[ dimension TimeGrain
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, regex "半(鐘)?"
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]
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, prod = \case
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(Token TimeGrain grain:_) -> Token Duration <$> nPlusOneHalf grain 1
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_ -> Nothing
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}
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ruleDurationAndHalfGrain :: Rule
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ruleDurationAndHalfGrain = Rule
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{ name = "<integer> and a half <unit-of-duration>"
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, pattern =
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[ Predicate isNatural
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, dimension TimeGrain
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, regex "半(鐘)?"
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]
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, prod = \case
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(Token Numeral NumeralData{TNumeral.value = v}:Token TimeGrain grain:_) -> do
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let vv = floor v
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Token Duration <$> nPlusOneHalf grain vv
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_ -> Nothing
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}
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ruleDurationAndHalfGrain2 :: Rule
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ruleDurationAndHalfGrain2 = Rule
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{ name = "<integer> and a half <unit-of-duration>"
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, pattern =
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[ Predicate isNatural
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, regex "個半"
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, dimension TimeGrain
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]
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, prod = \case
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(Token Numeral NumeralData{TNumeral.value = v}:_:Token TimeGrain grain:_) -> do
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let vv = floor v
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Token Duration <$> nPlusOneHalf grain vv
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_ -> Nothing
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}
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ruleDurationDotNumeralHours :: Rule
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ruleDurationDotNumeralHours = Rule
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{ name = "number.number hours"
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, pattern =
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[ regex "(\\d+)\\.(\\d+)"
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, Predicate $ isGrain TG.Hour
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]
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, prod = \case
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(Token RegexMatch (GroupMatch (h:m:_)):_) -> do
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hh <- parseInteger h
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mnum <- parseInteger m
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let mden = 10 ^ Text.length m
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Just $ Token Duration $ minutesFromHourMixedFraction hh mnum mden
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_ -> Nothing
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}
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ruleDurationDotNumeralHours2 :: Rule
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ruleDurationDotNumeralHours2 = Rule
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{ name = "number.number hours"
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, pattern =
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[ Predicate isNatural
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, regex "點"
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, Predicate isNatural
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, Predicate $ isGrain TG.Hour
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]
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, prod = \tokens -> case tokens of
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(Token Numeral NumeralData{TNumeral.value = m}:
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_:
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Token Numeral NumeralData{TNumeral.value = s}:
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_) -> Just
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$ Token Duration
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$ duration TG.Minute
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$ floor ((m + decimalsToDouble s) * 60)
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_ -> Nothing
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}
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ruleDurationDotNumeralMinutes :: Rule
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ruleDurationDotNumeralMinutes = Rule
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{ name = "number.number minutes"
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, pattern =
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[ regex "(\\d+)\\.(\\d+)"
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, Predicate $ isGrain TG.Minute
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]
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, prod = \case
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(Token RegexMatch (GroupMatch (m:s:_)):_) -> do
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mm <- parseInteger m
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ss <- parseInteger s
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let sden = 10 ^ Text.length s
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Just $ Token Duration $ secondsFromHourMixedFraction mm ss sden
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_ -> Nothing
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}
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ruleDurationDotNumeralMinutes2 :: Rule
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ruleDurationDotNumeralMinutes2 = Rule
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{ name = "number.number minutes"
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, pattern =
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[ Predicate isNatural
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, regex "點"
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, Predicate isNatural
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, Predicate $ isGrain TG.Minute
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]
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, prod = \tokens -> case tokens of
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(Token Numeral NumeralData{TNumeral.value = m}:
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_:
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Token Numeral NumeralData{TNumeral.value = s}:
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_) -> Just
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$ Token Duration
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$ duration TG.Second
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$ floor ((m + decimalsToDouble s) * 60)
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_ -> Nothing
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}
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ruleDurationHoursAndMinutes :: Rule
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ruleDurationHoursAndMinutes = Rule
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{ name = "<integer> hours and <integer> minutes"
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, pattern =
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[ Predicate isNatural
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, Predicate $ isGrain TG.Hour
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, Predicate isNatural
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, Predicate $ isGrain TG.Minute
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]
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, prod = \case
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(Token Numeral h:
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_:
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Token Numeral m:
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_) -> Just
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$ Token Duration
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$ duration TG.Minute
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$ floor (TNumeral.value m) + 60 * floor (TNumeral.value h)
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_ -> Nothing
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}
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ruleDurationMinutesAndSeconds :: Rule
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ruleDurationMinutesAndSeconds = Rule
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{ name = "<integer> minutes and <integer> seconds"
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, pattern =
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[ Predicate isNatural
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, Predicate $ isGrain TG.Minute
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, Predicate isNatural
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, Predicate $ isGrain TG.Second
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]
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, prod = \case
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(Token Numeral m:
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_:
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Token Numeral s:
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_) -> Just
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$ Token Duration
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$ duration TG.Second
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$ floor (TNumeral.value s) + 60 * floor (TNumeral.value m)
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_ -> Nothing
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}
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ruleDurationHoursAndSeconds :: Rule
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ruleDurationHoursAndSeconds = Rule
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{ name = "<integer> hours and <integer> seconds"
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, pattern =
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[ Predicate isNatural
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, Predicate $ isGrain TG.Hour
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, Predicate isNatural
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, Predicate $ isGrain TG.Second
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]
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, prod = \case
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(Token Numeral h:
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_:
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Token Numeral s:
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_) -> Just
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$ Token Duration
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$ duration TG.Second
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$ floor (TNumeral.value s) + 3600 * floor (TNumeral.value h)
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_ -> Nothing
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}
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ruleDurationHoursAndMinutesAndSeconds :: Rule
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ruleDurationHoursAndMinutesAndSeconds = Rule
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{ name = "<integer> hours and <integer> minutes and <integer> seconds"
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, pattern =
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[ Predicate isNatural
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, Predicate $ isGrain TG.Hour
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, Predicate isNatural
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, Predicate $ isGrain TG.Minute
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, Predicate isNatural
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, Predicate $ isGrain TG.Second
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]
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, prod = \case
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(Token Numeral h:
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_:
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Token Numeral m:
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_:
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Token Numeral s:
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_) -> Just
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$ Token Duration
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$ duration TG.Second
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$ floor (TNumeral.value s)
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+ 60 * floor (TNumeral.value m)
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+ 3600 * floor (TNumeral.value h)
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_ -> Nothing
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}
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ruleCompositeDurationAnd :: Rule
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ruleCompositeDurationAnd = Rule
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{ name = "composite <duration> and <duration>"
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, pattern =
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[ dimension Duration
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, regex "零"
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, dimension Duration
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]
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, prod = \case
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(Token Duration DurationData{TDuration.value = v, TDuration.grain = g}:
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_:
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Token Duration dd@DurationData{TDuration.grain = dg}:
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_) | g > dg -> Just $ Token Duration $ duration g v <> dd
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_ -> Nothing
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}
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rules :: [Rule]
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rules =
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[ ruleDurationNFiveMinutes
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, ruleDurationHalfATimeGrain
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, ruleDurationOneGrainAndHalf
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, ruleDurationOneGrainAndHalf2
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, ruleDurationAndHalfGrain
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, ruleDurationAndHalfGrain2
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, ruleDurationDotNumeralHours
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, ruleDurationDotNumeralHours2
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, ruleDurationDotNumeralMinutes
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, ruleDurationDotNumeralMinutes2
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, ruleDurationHoursAndMinutes
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, ruleDurationMinutesAndSeconds
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, ruleDurationHoursAndSeconds
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, ruleDurationHoursAndMinutesAndSeconds
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, ruleCompositeDurationAnd
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]
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@ -35,6 +35,20 @@ classifiers
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("number of 5 minutes after|past <integer> (hour-of-day)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -3.332204510175204,
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likelihoods =
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HashMap.fromList
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[("<integer> (latent time-of-day)integer (0..10)",
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-0.8979415932059586),
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("hour", -0.7308875085427924),
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("<integer> (latent time-of-day)<number>\20010/\20491",
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-2.1972245773362196)],
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n = 12},
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koData =
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ClassData{prior = -infinity, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [], n = 0}}),
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("\21360\24230\20016\25910\33410\31532\22235\22825",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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@ -64,11 +78,11 @@ classifiers
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likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
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("integer (numeric)",
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Classifier{okData =
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ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
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ClassData{prior = -0.621403275701104, unseen = -4.204692619390966,
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likelihoods = HashMap.fromList [("", 0.0)], n = 65},
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koData =
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ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
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likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
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ClassData{prior = -0.7704388548615918, unseen = -4.060443010546419,
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likelihoods = HashMap.fromList [("", 0.0)], n = 56}}),
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("\21355\22622\33410",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.9459101490553135,
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@ -145,29 +159,29 @@ classifiers
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likelihoods = HashMap.fromList [], n = 0}}),
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("month (grain)",
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Classifier{okData =
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ClassData{prior = -1.0541605260972757,
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ClassData{prior = -1.0840134892469568,
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unseen = -3.2188758248682006,
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likelihoods = HashMap.fromList [("", 0.0)], n = 23},
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koData =
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ClassData{prior = -0.42845462633286313,
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unseen = -3.8066624897703196,
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likelihoods = HashMap.fromList [("", 0.0)], n = 43}}),
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ClassData{prior = -0.41284521540578695,
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unseen = -3.8501476017100584,
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likelihoods = HashMap.fromList [("", 0.0)], n = 45}}),
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("<time-of-day> o'clock",
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Classifier{okData =
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ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
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ClassData{prior = -1.2367626271489267, unseen = -3.044522437723423,
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likelihoods =
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HashMap.fromList
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[("<integer> (latent time-of-day)", -0.6931471805599453),
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("hour", -0.6931471805599453)],
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n = 9},
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koData =
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ClassData{prior = -1.0296194171811581,
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unseen = -2.5649493574615367,
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ClassData{prior = -0.3429447511268303,
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unseen = -3.8501476017100584,
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likelihoods =
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HashMap.fromList
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[("<integer> (latent time-of-day)", -0.6931471805599453),
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("hour", -0.6931471805599453)],
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n = 5}}),
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n = 22}}),
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("national day",
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Classifier{okData =
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ClassData{prior = -0.2231435513142097,
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@ -225,71 +239,73 @@ classifiers
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likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
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("intersect",
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Classifier{okData =
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ClassData{prior = -0.39204208777602373,
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unseen = -5.198497031265826,
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ClassData{prior = -0.3968813644167729, unseen = -5.247024072160486,
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likelihoods =
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HashMap.fromList
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[("\20799\31461\33410<part-of-day> <dim time>",
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-3.58351893845611),
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-3.632309102625542),
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("year (numeric with year symbol)\20809\26126\33410",
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-3.1135153092103742),
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-3.1623054733798064),
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("xxxx year<named-month> <day-of-month>", -3.855452653939752),
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("year (numeric with year symbol)\25995\26376",
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-3.8066624897703196),
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-3.855452653939752),
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("year (numeric with year symbol)\20061\22812\33410",
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-3.8066624897703196),
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-3.855452653939752),
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("year (numeric with year symbol)<named-month> <day-of-month>",
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-2.3597435068339943),
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-2.4085336710034264),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
-4.143134726391533),
|
||||
("dayday", -2.5336968139574325),
|
||||
("hourhour", -3.632309102625542),
|
||||
("hourminute", -3.632309102625542),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
-2.5336968139574325),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
-4.143134726391533),
|
||||
("dayminute", -3.632309102625542),
|
||||
("tonight<time-of-day> o'clock", -3.632309102625542),
|
||||
("yearday", -1.3099213823353166),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
-4.143134726391533),
|
||||
("yearminute", -4.143134726391533),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.632309102625542)],
|
||||
n = 78},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
ClassData{prior = -1.1160040313799788, unseen = -4.700480365792417,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
-2.4941233048929243),
|
||||
("dayhour", -3.0819099697950434),
|
||||
("daymonth", -2.6119063405493077),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
-3.0819099697950434),
|
||||
("year (numeric with year symbol)Sunday", -3.9982007016691985),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
-3.592735593561034),
|
||||
("year (numeric with year symbol)April", -3.592735593561034),
|
||||
("hourhour", -3.592735593561034),
|
||||
("xxxx yearFebruary", -3.9982007016691985),
|
||||
("year (numeric with year symbol)March", -2.4941233048929243),
|
||||
("hourminute", -3.0819099697950434),
|
||||
("yearmonth", -1.8581345381729275),
|
||||
("dayminute", -3.0819099697950434),
|
||||
("xxxx yearMarch", -3.9982007016691985),
|
||||
("yearday", -3.9982007016691985),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
-2.6119063405493077),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.0819099697950434)],
|
||||
n = 38}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -299,12 +315,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
ClassData{prior = -1.6964492894237302,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
ClassData{prior = -0.2025242641114741,
|
||||
unseen = -3.9318256327243257,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
@ -460,26 +477,39 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
ClassData{prior = 0.0, unseen = -2.4849066497880004,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
("relative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.9444389791664407,
|
||||
ClassData{prior = 0.0, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.2809338454620642),
|
||||
("integer (0..10)", -0.325422400434628)],
|
||||
n = 16},
|
||||
[("<integer> (latent time-of-day)integer (0..10)",
|
||||
-0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3101549283038396,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.9740810260220096),
|
||||
("integer (0..10)", -0.1823215567939546)],
|
||||
n = 33},
|
||||
koData =
|
||||
ClassData{prior = -1.3217558399823195, unseen = -2.772588722239781,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("one point 2", -1.0986122886681098)],
|
||||
n = 12}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -543,6 +573,26 @@ classifiers
|
||||
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 = -0.5465437063680699, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7357067949787413),
|
||||
("hour", -0.7357067949787413)],
|
||||
n = 22},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.750305594399894)],
|
||||
n = 16}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
@ -673,8 +723,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -701,8 +751,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
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}}),
|
||||
@ -727,8 +777,20 @@ classifiers
|
||||
n = 23}}),
|
||||
("minute (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
ClassData{prior = -0.3184537311185346, unseen = -2.890371757896165,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
|
||||
koData =
|
||||
ClassData{prior = -1.2992829841302609,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("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}}),
|
||||
@ -749,62 +811,66 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<part-of-day> <dim time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6097655716208943, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7507762933965817, unseen = -4.859812404361672,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("tonight<integer> (latent time-of-day)", -2.451005098112319),
|
||||
("hourhour", -1.3523928094442093),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.6625477377480489),
|
||||
("afternoon<time-of-day> o'clock", -2.6741486494265287),
|
||||
("hourminute", -1.575536360758419),
|
||||
[("tonight<integer> (latent time-of-day)", -3.242592351485517),
|
||||
("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-1.7165360479904674),
|
||||
("hourhour", -2.1439800628174073),
|
||||
("afternoon<time-of-day> o'clock", -3.4657359027997265),
|
||||
("hourminute", -1.0233888674305223),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-2.6741486494265287),
|
||||
("afternoonhh:mm (time-of-day)", -3.367295829986474),
|
||||
("tonight<time-of-day> o'clock", -2.451005098112319)],
|
||||
n = 25},
|
||||
-3.4657359027997265),
|
||||
("afternoonrelative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
-2.5494451709255714),
|
||||
("afternoonhh:mm (time-of-day)", -3.7534179752515073),
|
||||
("tonight<time-of-day> o'clock", -3.242592351485517),
|
||||
("afternoonnumber of 5 minutes after|past <integer> (hour-of-day)",
|
||||
-2.2870809064580806)],
|
||||
n = 59},
|
||||
koData =
|
||||
ClassData{prior = -0.7841189587656721,
|
||||
unseen = -3.9318256327243257,
|
||||
ClassData{prior = -0.6386589952758756, unseen = -4.962844630259907,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hourhour", -1.4271163556401458),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.5141277326297755),
|
||||
("afternoon<time-of-day> o'clock", -2.120263536200091),
|
||||
("hourminute", -1.5141277326297755),
|
||||
[("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-2.1226137135450447),
|
||||
("hourhour", -1.024001424876935),
|
||||
("afternoon<time-of-day> o'clock", -1.820332841672111),
|
||||
("hourminute", -2.1226137135450447),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-1.9661128563728327)],
|
||||
n = 21}}),
|
||||
-1.5885312276147867)],
|
||||
n = 66}}),
|
||||
("<integer> <unit-of-duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
ClassData{prior = 0.0, unseen = -6.18826412308259,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number suffix: \21313|\25342month (grain)",
|
||||
-4.508659285607248),
|
||||
("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
-4.576770711466393),
|
||||
("week", -2.967332799032293),
|
||||
("integer (0..10)month (grain)", -2.720472721100767),
|
||||
("integer (0..10)hour (grain)", -3.050714407971344),
|
||||
("<number>\20010/\20491week (grain)", -3.788313351102123),
|
||||
("second", -3.5471512942852352),
|
||||
("integer (0..10)day (grain)", -3.050714407971344),
|
||||
("integer (0..10)year (grain)", -3.7013019741124937),
|
||||
("<number>\20010/\20491month (grain)", -3.4136199016607125),
|
||||
("integer (numeric)year (grain)", -2.315007612992603),
|
||||
("integer (0..10)second (grain)", -3.5471512942852352),
|
||||
("day", -3.050714407971344), ("year", -2.1086711799947744),
|
||||
("integer (0..10)minute (grain)", -3.050714407971344),
|
||||
("hour", -3.050714407971344),
|
||||
("integer (0..10)week (grain)", -3.4781584227982836),
|
||||
("month", -1.9815160045095277),
|
||||
("integer (numeric)month (grain)", -3.3529952798442775),
|
||||
("integer with consecutive unit modifiersminute (grain)",
|
||||
-4.24029847484518),
|
||||
("minute", -2.81891279391402)],
|
||||
n = 233}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -821,56 +887,35 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
ClassData{prior = -0.5596157879354228, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hh:mm (time-of-day)", -1.252762968495368),
|
||||
("<integer> (latent time-of-day)", -1.540445040947149),
|
||||
("hour", -1.540445040947149), ("minute", -1.252762968495368)],
|
||||
n = 5},
|
||||
[("hh:mm (time-of-day)", -1.0498221244986778),
|
||||
("<integer> (latent time-of-day)", -1.8971199848858813),
|
||||
("hour", -1.8971199848858813), ("minute", -1.0498221244986778)],
|
||||
n = 8},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -2.3978952727983707,
|
||||
ClassData{prior = -0.8472978603872037, unseen = -2.833213344056216,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.916290731874155),
|
||||
("hour", -0.916290731874155)],
|
||||
n = 3}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7801585575495751),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10}}),
|
||||
[("<integer> (latent time-of-day)", -0.8266785731844679),
|
||||
("hour", -0.8266785731844679)],
|
||||
n = 6}}),
|
||||
("one point 2",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.5553480614894135,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer (0..10)", -1.3217558399823195),
|
||||
[("integer (0..10)integer (0..10)", -0.8873031950009028),
|
||||
("integer (0..10)number suffix: \21313|\25342",
|
||||
-1.3217558399823195),
|
||||
-1.7346010553881064),
|
||||
("integer (0..10)integer with consecutive unit modifiers",
|
||||
-0.7621400520468967)],
|
||||
n = 12}}),
|
||||
-1.128465251817791),
|
||||
("integer (0..10)<number>\20010/\20491", -2.4277482359480516)],
|
||||
n = 30}}),
|
||||
("intersect by \",\"",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
@ -904,16 +949,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
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 = 26},
|
||||
n = 34},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
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,
|
||||
@ -977,8 +1026,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
|
||||
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}}),
|
||||
@ -991,11 +1040,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -1076,27 +1126,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4079456086518722),
|
||||
("integer (0..10)hour (grain)", -2.659260036932778),
|
||||
("<number>\20010/\20491week (grain)", -2.995732273553991),
|
||||
("second", -2.8134107167600364),
|
||||
("integer (0..10)day (grain)", -2.5257286443082556),
|
||||
("integer (0..10)year (grain)", -3.2188758248682006),
|
||||
("<number>\20010/\20491month (grain)", -2.8134107167600364),
|
||||
("integer (0..10)second (grain)", -2.8134107167600364),
|
||||
("day", -2.5257286443082556), ("year", -3.2188758248682006),
|
||||
("integer (0..10)minute (grain)", -2.659260036932778),
|
||||
("hour", -2.4079456086518722),
|
||||
("integer (0..10)week (grain)", -2.995732273553991),
|
||||
("month", -2.8134107167600364),
|
||||
("<number>\20010/\20491hour (grain)", -3.506557897319982),
|
||||
("minute", -2.659260036932778)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19975\22307\33410",
|
||||
Classifier{okData =
|
||||
@ -1112,6 +1160,14 @@ classifiers
|
||||
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,
|
||||
@ -1134,6 +1190,18 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number.number minutes",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer with consecutive unit modifiersminute (grain)",
|
||||
-0.6931471805599453),
|
||||
("minute", -0.6931471805599453)],
|
||||
n = 4}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
@ -1145,19 +1213,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
ClassData{prior = 0.0, unseen = -4.762173934797756,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Marchinteger (0..10)", -2.6210388241125804),
|
||||
("Marchinteger (numeric)", -3.0910424533583156),
|
||||
("Aprilinteger (numeric)", -3.6018680771243066),
|
||||
("Februaryinteger (0..10)", -2.6210388241125804),
|
||||
("Februarynumber suffix: \21313|\25342", -2.6210388241125804),
|
||||
("month", -0.7492366472109889),
|
||||
("Februaryinteger (numeric)", -2.503255788456197),
|
||||
[("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",
|
||||
-1.8672670217362002)],
|
||||
n = 51},
|
||||
-1.8091512119399242)],
|
||||
n = 54},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -1191,14 +1259,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("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 = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
ClassData{prior = -0.6026331730191135,
|
||||
unseen = -5.3471075307174685,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 208},
|
||||
koData =
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
ClassData{prior = -0.7926767759069784, unseen = -5.159055299214529,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 172}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -1236,27 +1311,25 @@ classifiers
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
ClassData{prior = 0.0, unseen = -4.02535169073515,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4159137783010487),
|
||||
("integer (0..10)hour (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491week (grain)", -2.9267394020670396),
|
||||
("second", -2.9267394020670396),
|
||||
("integer (0..10)day (grain)", -2.4159137783010487),
|
||||
("integer (0..10)year (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491month (grain)", -2.9267394020670396),
|
||||
("integer (0..10)second (grain)", -2.9267394020670396),
|
||||
("day", -2.4159137783010487), ("year", -2.9267394020670396),
|
||||
("integer (0..10)minute (grain)", -2.9267394020670396),
|
||||
("hour", -2.4159137783010487),
|
||||
("integer (0..10)week (grain)", -2.9267394020670396),
|
||||
("month", -2.9267394020670396),
|
||||
("<number>\20010/\20491hour (grain)", -2.9267394020670396),
|
||||
("minute", -2.9267394020670396)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
@ -1281,11 +1354,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number suffix: \21313|\25342",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
ClassData{prior = -0.18924199963852842,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
ClassData{prior = -1.7578579175523736,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
@ -1322,11 +1395,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 29},
|
||||
ClassData{prior = -0.2006706954621511,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -3.509131981127006e-2)],
|
||||
n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.7047480922384253,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("one point 2", -0.9808292530117262),
|
||||
("integer (0..10)", -0.4700036292457356)],
|
||||
n = 6}}),
|
||||
("\24773\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
|
@ -35,6 +35,20 @@ classifiers
|
||||
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 = 0.0, 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 = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -64,11 +78,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
ClassData{prior = -0.621403275701104, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
ClassData{prior = -0.7704388548615918, unseen = -4.060443010546419,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 56}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -145,29 +159,29 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("month (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0541605260972757,
|
||||
ClassData{prior = -1.0840134892469568,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
koData =
|
||||
ClassData{prior = -0.42845462633286313,
|
||||
unseen = -3.8066624897703196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 43}}),
|
||||
ClassData{prior = -0.41284521540578695,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 45}}),
|
||||
("<time-of-day> o'clock",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
|
||||
ClassData{prior = -1.2367626271489267, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -2.5649493574615367,
|
||||
ClassData{prior = -0.3429447511268303,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 5}}),
|
||||
n = 22}}),
|
||||
("national day",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
@ -225,71 +239,73 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
ClassData{prior = -0.3968813644167729, unseen = -5.247024072160486,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
-3.632309102625542),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("xxxx year<named-month> <day-of-month>", -3.855452653939752),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
-2.4085336710034264),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
-4.143134726391533),
|
||||
("dayday", -2.5336968139574325),
|
||||
("hourhour", -3.632309102625542),
|
||||
("hourminute", -3.632309102625542),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
-2.5336968139574325),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
-4.143134726391533),
|
||||
("dayminute", -3.632309102625542),
|
||||
("tonight<time-of-day> o'clock", -3.632309102625542),
|
||||
("yearday", -1.3099213823353166),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
-4.143134726391533),
|
||||
("yearminute", -4.143134726391533),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.632309102625542)],
|
||||
n = 78},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
ClassData{prior = -1.1160040313799788, unseen = -4.700480365792417,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
-2.4941233048929243),
|
||||
("dayhour", -3.0819099697950434),
|
||||
("daymonth", -2.6119063405493077),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
-3.0819099697950434),
|
||||
("year (numeric with year symbol)Sunday", -3.9982007016691985),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
-3.592735593561034),
|
||||
("year (numeric with year symbol)April", -3.592735593561034),
|
||||
("hourhour", -3.592735593561034),
|
||||
("xxxx yearFebruary", -3.9982007016691985),
|
||||
("year (numeric with year symbol)March", -2.4941233048929243),
|
||||
("hourminute", -3.0819099697950434),
|
||||
("yearmonth", -1.8581345381729275),
|
||||
("dayminute", -3.0819099697950434),
|
||||
("xxxx yearMarch", -3.9982007016691985),
|
||||
("yearday", -3.9982007016691985),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
-2.6119063405493077),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.0819099697950434)],
|
||||
n = 38}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -299,12 +315,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
ClassData{prior = -1.6964492894237302,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
ClassData{prior = -0.2025242641114741,
|
||||
unseen = -3.9318256327243257,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
@ -460,26 +477,39 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
ClassData{prior = 0.0, unseen = -2.4849066497880004,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
("relative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.9444389791664407,
|
||||
ClassData{prior = 0.0, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.2809338454620642),
|
||||
("integer (0..10)", -0.325422400434628)],
|
||||
n = 16},
|
||||
[("<integer> (latent time-of-day)integer (0..10)",
|
||||
-0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3101549283038396,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.9740810260220096),
|
||||
("integer (0..10)", -0.1823215567939546)],
|
||||
n = 33},
|
||||
koData =
|
||||
ClassData{prior = -1.3217558399823195, unseen = -2.772588722239781,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("one point 2", -1.0986122886681098)],
|
||||
n = 12}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -543,6 +573,26 @@ classifiers
|
||||
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 = -0.5465437063680699, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7357067949787413),
|
||||
("hour", -0.7357067949787413)],
|
||||
n = 22},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.750305594399894)],
|
||||
n = 16}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
@ -673,8 +723,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -701,8 +751,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
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}}),
|
||||
@ -727,8 +777,20 @@ classifiers
|
||||
n = 23}}),
|
||||
("minute (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
ClassData{prior = -0.3184537311185346, unseen = -2.890371757896165,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
|
||||
koData =
|
||||
ClassData{prior = -1.2992829841302609,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("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}}),
|
||||
@ -749,62 +811,66 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<part-of-day> <dim time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6097655716208943, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7507762933965817, unseen = -4.859812404361672,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("tonight<integer> (latent time-of-day)", -2.451005098112319),
|
||||
("hourhour", -1.3523928094442093),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.6625477377480489),
|
||||
("afternoon<time-of-day> o'clock", -2.6741486494265287),
|
||||
("hourminute", -1.575536360758419),
|
||||
[("tonight<integer> (latent time-of-day)", -3.242592351485517),
|
||||
("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-1.7165360479904674),
|
||||
("hourhour", -2.1439800628174073),
|
||||
("afternoon<time-of-day> o'clock", -3.4657359027997265),
|
||||
("hourminute", -1.0233888674305223),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-2.6741486494265287),
|
||||
("afternoonhh:mm (time-of-day)", -3.367295829986474),
|
||||
("tonight<time-of-day> o'clock", -2.451005098112319)],
|
||||
n = 25},
|
||||
-3.4657359027997265),
|
||||
("afternoonrelative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
-2.5494451709255714),
|
||||
("afternoonhh:mm (time-of-day)", -3.7534179752515073),
|
||||
("tonight<time-of-day> o'clock", -3.242592351485517),
|
||||
("afternoonnumber of 5 minutes after|past <integer> (hour-of-day)",
|
||||
-2.2870809064580806)],
|
||||
n = 59},
|
||||
koData =
|
||||
ClassData{prior = -0.7841189587656721,
|
||||
unseen = -3.9318256327243257,
|
||||
ClassData{prior = -0.6386589952758756, unseen = -4.962844630259907,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hourhour", -1.4271163556401458),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.5141277326297755),
|
||||
("afternoon<time-of-day> o'clock", -2.120263536200091),
|
||||
("hourminute", -1.5141277326297755),
|
||||
[("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-2.1226137135450447),
|
||||
("hourhour", -1.024001424876935),
|
||||
("afternoon<time-of-day> o'clock", -1.820332841672111),
|
||||
("hourminute", -2.1226137135450447),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-1.9661128563728327)],
|
||||
n = 21}}),
|
||||
-1.5885312276147867)],
|
||||
n = 66}}),
|
||||
("<integer> <unit-of-duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
ClassData{prior = 0.0, unseen = -6.18826412308259,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number suffix: \21313|\25342month (grain)",
|
||||
-4.508659285607248),
|
||||
("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
-4.576770711466393),
|
||||
("week", -2.967332799032293),
|
||||
("integer (0..10)month (grain)", -2.720472721100767),
|
||||
("integer (0..10)hour (grain)", -3.050714407971344),
|
||||
("<number>\20010/\20491week (grain)", -3.788313351102123),
|
||||
("second", -3.5471512942852352),
|
||||
("integer (0..10)day (grain)", -3.050714407971344),
|
||||
("integer (0..10)year (grain)", -3.7013019741124937),
|
||||
("<number>\20010/\20491month (grain)", -3.4136199016607125),
|
||||
("integer (numeric)year (grain)", -2.315007612992603),
|
||||
("integer (0..10)second (grain)", -3.5471512942852352),
|
||||
("day", -3.050714407971344), ("year", -2.1086711799947744),
|
||||
("integer (0..10)minute (grain)", -3.050714407971344),
|
||||
("hour", -3.050714407971344),
|
||||
("integer (0..10)week (grain)", -3.4781584227982836),
|
||||
("month", -1.9815160045095277),
|
||||
("integer (numeric)month (grain)", -3.3529952798442775),
|
||||
("integer with consecutive unit modifiersminute (grain)",
|
||||
-4.24029847484518),
|
||||
("minute", -2.81891279391402)],
|
||||
n = 233}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -821,56 +887,35 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
ClassData{prior = -0.5596157879354228, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hh:mm (time-of-day)", -1.252762968495368),
|
||||
("<integer> (latent time-of-day)", -1.540445040947149),
|
||||
("hour", -1.540445040947149), ("minute", -1.252762968495368)],
|
||||
n = 5},
|
||||
[("hh:mm (time-of-day)", -1.0498221244986778),
|
||||
("<integer> (latent time-of-day)", -1.8971199848858813),
|
||||
("hour", -1.8971199848858813), ("minute", -1.0498221244986778)],
|
||||
n = 8},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -2.3978952727983707,
|
||||
ClassData{prior = -0.8472978603872037, unseen = -2.833213344056216,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.916290731874155),
|
||||
("hour", -0.916290731874155)],
|
||||
n = 3}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7801585575495751),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10}}),
|
||||
[("<integer> (latent time-of-day)", -0.8266785731844679),
|
||||
("hour", -0.8266785731844679)],
|
||||
n = 6}}),
|
||||
("one point 2",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.5553480614894135,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer (0..10)", -1.3217558399823195),
|
||||
[("integer (0..10)integer (0..10)", -0.8873031950009028),
|
||||
("integer (0..10)number suffix: \21313|\25342",
|
||||
-1.3217558399823195),
|
||||
-1.7346010553881064),
|
||||
("integer (0..10)integer with consecutive unit modifiers",
|
||||
-0.7621400520468967)],
|
||||
n = 12}}),
|
||||
-1.128465251817791),
|
||||
("integer (0..10)<number>\20010/\20491", -2.4277482359480516)],
|
||||
n = 30}}),
|
||||
("intersect by \",\"",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
@ -904,16 +949,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
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 = 26},
|
||||
n = 34},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
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,
|
||||
@ -977,8 +1026,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
|
||||
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}}),
|
||||
@ -991,11 +1040,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -1076,27 +1126,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4079456086518722),
|
||||
("integer (0..10)hour (grain)", -2.659260036932778),
|
||||
("<number>\20010/\20491week (grain)", -2.995732273553991),
|
||||
("second", -2.8134107167600364),
|
||||
("integer (0..10)day (grain)", -2.5257286443082556),
|
||||
("integer (0..10)year (grain)", -3.2188758248682006),
|
||||
("<number>\20010/\20491month (grain)", -2.8134107167600364),
|
||||
("integer (0..10)second (grain)", -2.8134107167600364),
|
||||
("day", -2.5257286443082556), ("year", -3.2188758248682006),
|
||||
("integer (0..10)minute (grain)", -2.659260036932778),
|
||||
("hour", -2.4079456086518722),
|
||||
("integer (0..10)week (grain)", -2.995732273553991),
|
||||
("month", -2.8134107167600364),
|
||||
("<number>\20010/\20491hour (grain)", -3.506557897319982),
|
||||
("minute", -2.659260036932778)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19975\22307\33410",
|
||||
Classifier{okData =
|
||||
@ -1112,6 +1160,14 @@ classifiers
|
||||
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,
|
||||
@ -1134,6 +1190,18 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number.number minutes",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer with consecutive unit modifiersminute (grain)",
|
||||
-0.6931471805599453),
|
||||
("minute", -0.6931471805599453)],
|
||||
n = 4}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
@ -1145,19 +1213,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
ClassData{prior = 0.0, unseen = -4.762173934797756,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Marchinteger (0..10)", -2.6210388241125804),
|
||||
("Marchinteger (numeric)", -3.0910424533583156),
|
||||
("Aprilinteger (numeric)", -3.6018680771243066),
|
||||
("Februaryinteger (0..10)", -2.6210388241125804),
|
||||
("Februarynumber suffix: \21313|\25342", -2.6210388241125804),
|
||||
("month", -0.7492366472109889),
|
||||
("Februaryinteger (numeric)", -2.503255788456197),
|
||||
[("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",
|
||||
-1.8672670217362002)],
|
||||
n = 51},
|
||||
-1.8091512119399242)],
|
||||
n = 54},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -1191,14 +1259,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("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 = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
ClassData{prior = -0.6026331730191135,
|
||||
unseen = -5.3471075307174685,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 208},
|
||||
koData =
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
ClassData{prior = -0.7926767759069784, unseen = -5.159055299214529,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 172}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -1236,27 +1311,25 @@ classifiers
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
ClassData{prior = 0.0, unseen = -4.02535169073515,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4159137783010487),
|
||||
("integer (0..10)hour (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491week (grain)", -2.9267394020670396),
|
||||
("second", -2.9267394020670396),
|
||||
("integer (0..10)day (grain)", -2.4159137783010487),
|
||||
("integer (0..10)year (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491month (grain)", -2.9267394020670396),
|
||||
("integer (0..10)second (grain)", -2.9267394020670396),
|
||||
("day", -2.4159137783010487), ("year", -2.9267394020670396),
|
||||
("integer (0..10)minute (grain)", -2.9267394020670396),
|
||||
("hour", -2.4159137783010487),
|
||||
("integer (0..10)week (grain)", -2.9267394020670396),
|
||||
("month", -2.9267394020670396),
|
||||
("<number>\20010/\20491hour (grain)", -2.9267394020670396),
|
||||
("minute", -2.9267394020670396)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
@ -1281,11 +1354,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number suffix: \21313|\25342",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
ClassData{prior = -0.18924199963852842,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
ClassData{prior = -1.7578579175523736,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
@ -1322,11 +1395,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 29},
|
||||
ClassData{prior = -0.2006706954621511,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -3.509131981127006e-2)],
|
||||
n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.7047480922384253,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("one point 2", -0.9808292530117262),
|
||||
("integer (0..10)", -0.4700036292457356)],
|
||||
n = 6}}),
|
||||
("\24773\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
|
@ -35,6 +35,20 @@ classifiers
|
||||
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 = 0.0, 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 = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -64,11 +78,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
ClassData{prior = -0.621403275701104, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
ClassData{prior = -0.7704388548615918, unseen = -4.060443010546419,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 56}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -145,29 +159,29 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("month (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0541605260972757,
|
||||
ClassData{prior = -1.0840134892469568,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
koData =
|
||||
ClassData{prior = -0.42845462633286313,
|
||||
unseen = -3.8066624897703196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 43}}),
|
||||
ClassData{prior = -0.41284521540578695,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 45}}),
|
||||
("<time-of-day> o'clock",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
|
||||
ClassData{prior = -1.2367626271489267, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -2.5649493574615367,
|
||||
ClassData{prior = -0.3429447511268303,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 5}}),
|
||||
n = 22}}),
|
||||
("national day",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
@ -225,71 +239,73 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
ClassData{prior = -0.3968813644167729, unseen = -5.247024072160486,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
-3.632309102625542),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("xxxx year<named-month> <day-of-month>", -3.855452653939752),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
-2.4085336710034264),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
-4.143134726391533),
|
||||
("dayday", -2.5336968139574325),
|
||||
("hourhour", -3.632309102625542),
|
||||
("hourminute", -3.632309102625542),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
-2.5336968139574325),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
-4.143134726391533),
|
||||
("dayminute", -3.632309102625542),
|
||||
("tonight<time-of-day> o'clock", -3.632309102625542),
|
||||
("yearday", -1.3099213823353166),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
-4.143134726391533),
|
||||
("yearminute", -4.143134726391533),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.632309102625542)],
|
||||
n = 78},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
ClassData{prior = -1.1160040313799788, unseen = -4.700480365792417,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
-2.4941233048929243),
|
||||
("dayhour", -3.0819099697950434),
|
||||
("daymonth", -2.6119063405493077),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
-3.0819099697950434),
|
||||
("year (numeric with year symbol)Sunday", -3.9982007016691985),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
-3.592735593561034),
|
||||
("year (numeric with year symbol)April", -3.592735593561034),
|
||||
("hourhour", -3.592735593561034),
|
||||
("xxxx yearFebruary", -3.9982007016691985),
|
||||
("year (numeric with year symbol)March", -2.4941233048929243),
|
||||
("hourminute", -3.0819099697950434),
|
||||
("yearmonth", -1.8581345381729275),
|
||||
("dayminute", -3.0819099697950434),
|
||||
("xxxx yearMarch", -3.9982007016691985),
|
||||
("yearday", -3.9982007016691985),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
-2.6119063405493077),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.0819099697950434)],
|
||||
n = 38}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -299,12 +315,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
ClassData{prior = -1.6964492894237302,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
ClassData{prior = -0.2025242641114741,
|
||||
unseen = -3.9318256327243257,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
@ -460,26 +477,39 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
ClassData{prior = 0.0, unseen = -2.4849066497880004,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
("relative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.9444389791664407,
|
||||
ClassData{prior = 0.0, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.2809338454620642),
|
||||
("integer (0..10)", -0.325422400434628)],
|
||||
n = 16},
|
||||
[("<integer> (latent time-of-day)integer (0..10)",
|
||||
-0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3101549283038396,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.9740810260220096),
|
||||
("integer (0..10)", -0.1823215567939546)],
|
||||
n = 33},
|
||||
koData =
|
||||
ClassData{prior = -1.3217558399823195, unseen = -2.772588722239781,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("one point 2", -1.0986122886681098)],
|
||||
n = 12}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -543,6 +573,26 @@ classifiers
|
||||
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 = -0.5465437063680699, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7357067949787413),
|
||||
("hour", -0.7357067949787413)],
|
||||
n = 22},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.750305594399894)],
|
||||
n = 16}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
@ -673,8 +723,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -701,8 +751,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
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}}),
|
||||
@ -727,8 +777,20 @@ classifiers
|
||||
n = 23}}),
|
||||
("minute (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
ClassData{prior = -0.3184537311185346, unseen = -2.890371757896165,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
|
||||
koData =
|
||||
ClassData{prior = -1.2992829841302609,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("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}}),
|
||||
@ -749,62 +811,66 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<part-of-day> <dim time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6097655716208943, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7507762933965817, unseen = -4.859812404361672,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("tonight<integer> (latent time-of-day)", -2.451005098112319),
|
||||
("hourhour", -1.3523928094442093),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.6625477377480489),
|
||||
("afternoon<time-of-day> o'clock", -2.6741486494265287),
|
||||
("hourminute", -1.575536360758419),
|
||||
[("tonight<integer> (latent time-of-day)", -3.242592351485517),
|
||||
("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-1.7165360479904674),
|
||||
("hourhour", -2.1439800628174073),
|
||||
("afternoon<time-of-day> o'clock", -3.4657359027997265),
|
||||
("hourminute", -1.0233888674305223),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-2.6741486494265287),
|
||||
("afternoonhh:mm (time-of-day)", -3.367295829986474),
|
||||
("tonight<time-of-day> o'clock", -2.451005098112319)],
|
||||
n = 25},
|
||||
-3.4657359027997265),
|
||||
("afternoonrelative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
-2.5494451709255714),
|
||||
("afternoonhh:mm (time-of-day)", -3.7534179752515073),
|
||||
("tonight<time-of-day> o'clock", -3.242592351485517),
|
||||
("afternoonnumber of 5 minutes after|past <integer> (hour-of-day)",
|
||||
-2.2870809064580806)],
|
||||
n = 59},
|
||||
koData =
|
||||
ClassData{prior = -0.7841189587656721,
|
||||
unseen = -3.9318256327243257,
|
||||
ClassData{prior = -0.6386589952758756, unseen = -4.962844630259907,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hourhour", -1.4271163556401458),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.5141277326297755),
|
||||
("afternoon<time-of-day> o'clock", -2.120263536200091),
|
||||
("hourminute", -1.5141277326297755),
|
||||
[("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-2.1226137135450447),
|
||||
("hourhour", -1.024001424876935),
|
||||
("afternoon<time-of-day> o'clock", -1.820332841672111),
|
||||
("hourminute", -2.1226137135450447),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-1.9661128563728327)],
|
||||
n = 21}}),
|
||||
-1.5885312276147867)],
|
||||
n = 66}}),
|
||||
("<integer> <unit-of-duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
ClassData{prior = 0.0, unseen = -6.18826412308259,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number suffix: \21313|\25342month (grain)",
|
||||
-4.508659285607248),
|
||||
("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
-4.576770711466393),
|
||||
("week", -2.967332799032293),
|
||||
("integer (0..10)month (grain)", -2.720472721100767),
|
||||
("integer (0..10)hour (grain)", -3.050714407971344),
|
||||
("<number>\20010/\20491week (grain)", -3.788313351102123),
|
||||
("second", -3.5471512942852352),
|
||||
("integer (0..10)day (grain)", -3.050714407971344),
|
||||
("integer (0..10)year (grain)", -3.7013019741124937),
|
||||
("<number>\20010/\20491month (grain)", -3.4136199016607125),
|
||||
("integer (numeric)year (grain)", -2.315007612992603),
|
||||
("integer (0..10)second (grain)", -3.5471512942852352),
|
||||
("day", -3.050714407971344), ("year", -2.1086711799947744),
|
||||
("integer (0..10)minute (grain)", -3.050714407971344),
|
||||
("hour", -3.050714407971344),
|
||||
("integer (0..10)week (grain)", -3.4781584227982836),
|
||||
("month", -1.9815160045095277),
|
||||
("integer (numeric)month (grain)", -3.3529952798442775),
|
||||
("integer with consecutive unit modifiersminute (grain)",
|
||||
-4.24029847484518),
|
||||
("minute", -2.81891279391402)],
|
||||
n = 233}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -821,56 +887,35 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
ClassData{prior = -0.5596157879354228, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hh:mm (time-of-day)", -1.252762968495368),
|
||||
("<integer> (latent time-of-day)", -1.540445040947149),
|
||||
("hour", -1.540445040947149), ("minute", -1.252762968495368)],
|
||||
n = 5},
|
||||
[("hh:mm (time-of-day)", -1.0498221244986778),
|
||||
("<integer> (latent time-of-day)", -1.8971199848858813),
|
||||
("hour", -1.8971199848858813), ("minute", -1.0498221244986778)],
|
||||
n = 8},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -2.3978952727983707,
|
||||
ClassData{prior = -0.8472978603872037, unseen = -2.833213344056216,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.916290731874155),
|
||||
("hour", -0.916290731874155)],
|
||||
n = 3}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7801585575495751),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10}}),
|
||||
[("<integer> (latent time-of-day)", -0.8266785731844679),
|
||||
("hour", -0.8266785731844679)],
|
||||
n = 6}}),
|
||||
("one point 2",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.5553480614894135,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer (0..10)", -1.3217558399823195),
|
||||
[("integer (0..10)integer (0..10)", -0.8873031950009028),
|
||||
("integer (0..10)number suffix: \21313|\25342",
|
||||
-1.3217558399823195),
|
||||
-1.7346010553881064),
|
||||
("integer (0..10)integer with consecutive unit modifiers",
|
||||
-0.7621400520468967)],
|
||||
n = 12}}),
|
||||
-1.128465251817791),
|
||||
("integer (0..10)<number>\20010/\20491", -2.4277482359480516)],
|
||||
n = 30}}),
|
||||
("intersect by \",\"",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
@ -904,16 +949,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
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 = 26},
|
||||
n = 34},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
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,
|
||||
@ -977,8 +1026,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
|
||||
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}}),
|
||||
@ -991,11 +1040,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -1076,27 +1126,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4079456086518722),
|
||||
("integer (0..10)hour (grain)", -2.659260036932778),
|
||||
("<number>\20010/\20491week (grain)", -2.995732273553991),
|
||||
("second", -2.8134107167600364),
|
||||
("integer (0..10)day (grain)", -2.5257286443082556),
|
||||
("integer (0..10)year (grain)", -3.2188758248682006),
|
||||
("<number>\20010/\20491month (grain)", -2.8134107167600364),
|
||||
("integer (0..10)second (grain)", -2.8134107167600364),
|
||||
("day", -2.5257286443082556), ("year", -3.2188758248682006),
|
||||
("integer (0..10)minute (grain)", -2.659260036932778),
|
||||
("hour", -2.4079456086518722),
|
||||
("integer (0..10)week (grain)", -2.995732273553991),
|
||||
("month", -2.8134107167600364),
|
||||
("<number>\20010/\20491hour (grain)", -3.506557897319982),
|
||||
("minute", -2.659260036932778)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19975\22307\33410",
|
||||
Classifier{okData =
|
||||
@ -1112,6 +1160,14 @@ classifiers
|
||||
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,
|
||||
@ -1134,6 +1190,18 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number.number minutes",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer with consecutive unit modifiersminute (grain)",
|
||||
-0.6931471805599453),
|
||||
("minute", -0.6931471805599453)],
|
||||
n = 4}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
@ -1145,19 +1213,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
ClassData{prior = 0.0, unseen = -4.762173934797756,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Marchinteger (0..10)", -2.6210388241125804),
|
||||
("Marchinteger (numeric)", -3.0910424533583156),
|
||||
("Aprilinteger (numeric)", -3.6018680771243066),
|
||||
("Februaryinteger (0..10)", -2.6210388241125804),
|
||||
("Februarynumber suffix: \21313|\25342", -2.6210388241125804),
|
||||
("month", -0.7492366472109889),
|
||||
("Februaryinteger (numeric)", -2.503255788456197),
|
||||
[("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",
|
||||
-1.8672670217362002)],
|
||||
n = 51},
|
||||
-1.8091512119399242)],
|
||||
n = 54},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -1191,14 +1259,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("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 = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
ClassData{prior = -0.6026331730191135,
|
||||
unseen = -5.3471075307174685,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 208},
|
||||
koData =
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
ClassData{prior = -0.7926767759069784, unseen = -5.159055299214529,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 172}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -1236,27 +1311,25 @@ classifiers
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
ClassData{prior = 0.0, unseen = -4.02535169073515,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4159137783010487),
|
||||
("integer (0..10)hour (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491week (grain)", -2.9267394020670396),
|
||||
("second", -2.9267394020670396),
|
||||
("integer (0..10)day (grain)", -2.4159137783010487),
|
||||
("integer (0..10)year (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491month (grain)", -2.9267394020670396),
|
||||
("integer (0..10)second (grain)", -2.9267394020670396),
|
||||
("day", -2.4159137783010487), ("year", -2.9267394020670396),
|
||||
("integer (0..10)minute (grain)", -2.9267394020670396),
|
||||
("hour", -2.4159137783010487),
|
||||
("integer (0..10)week (grain)", -2.9267394020670396),
|
||||
("month", -2.9267394020670396),
|
||||
("<number>\20010/\20491hour (grain)", -2.9267394020670396),
|
||||
("minute", -2.9267394020670396)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
@ -1281,11 +1354,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number suffix: \21313|\25342",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
ClassData{prior = -0.18924199963852842,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
ClassData{prior = -1.7578579175523736,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
@ -1322,11 +1395,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 29},
|
||||
ClassData{prior = -0.2006706954621511,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -3.509131981127006e-2)],
|
||||
n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.7047480922384253,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("one point 2", -0.9808292530117262),
|
||||
("integer (0..10)", -0.4700036292457356)],
|
||||
n = 6}}),
|
||||
("\24773\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
|
@ -35,6 +35,20 @@ classifiers
|
||||
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 = 0.0, 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 = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -64,11 +78,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
ClassData{prior = -0.621403275701104, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
ClassData{prior = -0.7704388548615918, unseen = -4.060443010546419,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 56}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -145,29 +159,29 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("month (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0541605260972757,
|
||||
ClassData{prior = -1.0840134892469568,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
koData =
|
||||
ClassData{prior = -0.42845462633286313,
|
||||
unseen = -3.8066624897703196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 43}}),
|
||||
ClassData{prior = -0.41284521540578695,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 45}}),
|
||||
("<time-of-day> o'clock",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
|
||||
ClassData{prior = -1.2367626271489267, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -2.5649493574615367,
|
||||
ClassData{prior = -0.3429447511268303,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 5}}),
|
||||
n = 22}}),
|
||||
("national day",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
@ -225,71 +239,73 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
ClassData{prior = -0.3968813644167729, unseen = -5.247024072160486,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
-3.632309102625542),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("xxxx year<named-month> <day-of-month>", -3.855452653939752),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
-2.4085336710034264),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
-4.143134726391533),
|
||||
("dayday", -2.5336968139574325),
|
||||
("hourhour", -3.632309102625542),
|
||||
("hourminute", -3.632309102625542),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
-2.5336968139574325),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
-4.143134726391533),
|
||||
("dayminute", -3.632309102625542),
|
||||
("tonight<time-of-day> o'clock", -3.632309102625542),
|
||||
("yearday", -1.3099213823353166),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
-4.143134726391533),
|
||||
("yearminute", -4.143134726391533),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.632309102625542)],
|
||||
n = 78},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
ClassData{prior = -1.1160040313799788, unseen = -4.700480365792417,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
-2.4941233048929243),
|
||||
("dayhour", -3.0819099697950434),
|
||||
("daymonth", -2.6119063405493077),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
-3.0819099697950434),
|
||||
("year (numeric with year symbol)Sunday", -3.9982007016691985),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
-3.592735593561034),
|
||||
("year (numeric with year symbol)April", -3.592735593561034),
|
||||
("hourhour", -3.592735593561034),
|
||||
("xxxx yearFebruary", -3.9982007016691985),
|
||||
("year (numeric with year symbol)March", -2.4941233048929243),
|
||||
("hourminute", -3.0819099697950434),
|
||||
("yearmonth", -1.8581345381729275),
|
||||
("dayminute", -3.0819099697950434),
|
||||
("xxxx yearMarch", -3.9982007016691985),
|
||||
("yearday", -3.9982007016691985),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
-2.6119063405493077),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.0819099697950434)],
|
||||
n = 38}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -299,12 +315,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
ClassData{prior = -1.6964492894237302,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
ClassData{prior = -0.2025242641114741,
|
||||
unseen = -3.9318256327243257,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
@ -460,26 +477,39 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
ClassData{prior = 0.0, unseen = -2.4849066497880004,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
("relative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.9444389791664407,
|
||||
ClassData{prior = 0.0, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.2809338454620642),
|
||||
("integer (0..10)", -0.325422400434628)],
|
||||
n = 16},
|
||||
[("<integer> (latent time-of-day)integer (0..10)",
|
||||
-0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3101549283038396,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.9740810260220096),
|
||||
("integer (0..10)", -0.1823215567939546)],
|
||||
n = 33},
|
||||
koData =
|
||||
ClassData{prior = -1.3217558399823195, unseen = -2.772588722239781,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("one point 2", -1.0986122886681098)],
|
||||
n = 12}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -543,6 +573,26 @@ classifiers
|
||||
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 = -0.5465437063680699, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7357067949787413),
|
||||
("hour", -0.7357067949787413)],
|
||||
n = 22},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.750305594399894)],
|
||||
n = 16}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
@ -673,8 +723,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -701,8 +751,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
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}}),
|
||||
@ -727,8 +777,20 @@ classifiers
|
||||
n = 23}}),
|
||||
("minute (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
ClassData{prior = -0.3184537311185346, unseen = -2.890371757896165,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
|
||||
koData =
|
||||
ClassData{prior = -1.2992829841302609,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("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}}),
|
||||
@ -749,62 +811,66 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<part-of-day> <dim time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6097655716208943, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7507762933965817, unseen = -4.859812404361672,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("tonight<integer> (latent time-of-day)", -2.451005098112319),
|
||||
("hourhour", -1.3523928094442093),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.6625477377480489),
|
||||
("afternoon<time-of-day> o'clock", -2.6741486494265287),
|
||||
("hourminute", -1.575536360758419),
|
||||
[("tonight<integer> (latent time-of-day)", -3.242592351485517),
|
||||
("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-1.7165360479904674),
|
||||
("hourhour", -2.1439800628174073),
|
||||
("afternoon<time-of-day> o'clock", -3.4657359027997265),
|
||||
("hourminute", -1.0233888674305223),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-2.6741486494265287),
|
||||
("afternoonhh:mm (time-of-day)", -3.367295829986474),
|
||||
("tonight<time-of-day> o'clock", -2.451005098112319)],
|
||||
n = 25},
|
||||
-3.4657359027997265),
|
||||
("afternoonrelative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
-2.5494451709255714),
|
||||
("afternoonhh:mm (time-of-day)", -3.7534179752515073),
|
||||
("tonight<time-of-day> o'clock", -3.242592351485517),
|
||||
("afternoonnumber of 5 minutes after|past <integer> (hour-of-day)",
|
||||
-2.2870809064580806)],
|
||||
n = 59},
|
||||
koData =
|
||||
ClassData{prior = -0.7841189587656721,
|
||||
unseen = -3.9318256327243257,
|
||||
ClassData{prior = -0.6386589952758756, unseen = -4.962844630259907,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hourhour", -1.4271163556401458),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.5141277326297755),
|
||||
("afternoon<time-of-day> o'clock", -2.120263536200091),
|
||||
("hourminute", -1.5141277326297755),
|
||||
[("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-2.1226137135450447),
|
||||
("hourhour", -1.024001424876935),
|
||||
("afternoon<time-of-day> o'clock", -1.820332841672111),
|
||||
("hourminute", -2.1226137135450447),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-1.9661128563728327)],
|
||||
n = 21}}),
|
||||
-1.5885312276147867)],
|
||||
n = 66}}),
|
||||
("<integer> <unit-of-duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
ClassData{prior = 0.0, unseen = -6.18826412308259,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number suffix: \21313|\25342month (grain)",
|
||||
-4.508659285607248),
|
||||
("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
-4.576770711466393),
|
||||
("week", -2.967332799032293),
|
||||
("integer (0..10)month (grain)", -2.720472721100767),
|
||||
("integer (0..10)hour (grain)", -3.050714407971344),
|
||||
("<number>\20010/\20491week (grain)", -3.788313351102123),
|
||||
("second", -3.5471512942852352),
|
||||
("integer (0..10)day (grain)", -3.050714407971344),
|
||||
("integer (0..10)year (grain)", -3.7013019741124937),
|
||||
("<number>\20010/\20491month (grain)", -3.4136199016607125),
|
||||
("integer (numeric)year (grain)", -2.315007612992603),
|
||||
("integer (0..10)second (grain)", -3.5471512942852352),
|
||||
("day", -3.050714407971344), ("year", -2.1086711799947744),
|
||||
("integer (0..10)minute (grain)", -3.050714407971344),
|
||||
("hour", -3.050714407971344),
|
||||
("integer (0..10)week (grain)", -3.4781584227982836),
|
||||
("month", -1.9815160045095277),
|
||||
("integer (numeric)month (grain)", -3.3529952798442775),
|
||||
("integer with consecutive unit modifiersminute (grain)",
|
||||
-4.24029847484518),
|
||||
("minute", -2.81891279391402)],
|
||||
n = 233}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -821,56 +887,35 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
ClassData{prior = -0.5596157879354228, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hh:mm (time-of-day)", -1.252762968495368),
|
||||
("<integer> (latent time-of-day)", -1.540445040947149),
|
||||
("hour", -1.540445040947149), ("minute", -1.252762968495368)],
|
||||
n = 5},
|
||||
[("hh:mm (time-of-day)", -1.0498221244986778),
|
||||
("<integer> (latent time-of-day)", -1.8971199848858813),
|
||||
("hour", -1.8971199848858813), ("minute", -1.0498221244986778)],
|
||||
n = 8},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -2.3978952727983707,
|
||||
ClassData{prior = -0.8472978603872037, unseen = -2.833213344056216,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.916290731874155),
|
||||
("hour", -0.916290731874155)],
|
||||
n = 3}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7801585575495751),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10}}),
|
||||
[("<integer> (latent time-of-day)", -0.8266785731844679),
|
||||
("hour", -0.8266785731844679)],
|
||||
n = 6}}),
|
||||
("one point 2",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.5553480614894135,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer (0..10)", -1.3217558399823195),
|
||||
[("integer (0..10)integer (0..10)", -0.8873031950009028),
|
||||
("integer (0..10)number suffix: \21313|\25342",
|
||||
-1.3217558399823195),
|
||||
-1.7346010553881064),
|
||||
("integer (0..10)integer with consecutive unit modifiers",
|
||||
-0.7621400520468967)],
|
||||
n = 12}}),
|
||||
-1.128465251817791),
|
||||
("integer (0..10)<number>\20010/\20491", -2.4277482359480516)],
|
||||
n = 30}}),
|
||||
("intersect by \",\"",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
@ -904,16 +949,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
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 = 26},
|
||||
n = 34},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
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,
|
||||
@ -977,8 +1026,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
|
||||
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}}),
|
||||
@ -991,11 +1040,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -1076,27 +1126,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4079456086518722),
|
||||
("integer (0..10)hour (grain)", -2.659260036932778),
|
||||
("<number>\20010/\20491week (grain)", -2.995732273553991),
|
||||
("second", -2.8134107167600364),
|
||||
("integer (0..10)day (grain)", -2.5257286443082556),
|
||||
("integer (0..10)year (grain)", -3.2188758248682006),
|
||||
("<number>\20010/\20491month (grain)", -2.8134107167600364),
|
||||
("integer (0..10)second (grain)", -2.8134107167600364),
|
||||
("day", -2.5257286443082556), ("year", -3.2188758248682006),
|
||||
("integer (0..10)minute (grain)", -2.659260036932778),
|
||||
("hour", -2.4079456086518722),
|
||||
("integer (0..10)week (grain)", -2.995732273553991),
|
||||
("month", -2.8134107167600364),
|
||||
("<number>\20010/\20491hour (grain)", -3.506557897319982),
|
||||
("minute", -2.659260036932778)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19975\22307\33410",
|
||||
Classifier{okData =
|
||||
@ -1112,6 +1160,14 @@ classifiers
|
||||
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,
|
||||
@ -1134,6 +1190,18 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number.number minutes",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer with consecutive unit modifiersminute (grain)",
|
||||
-0.6931471805599453),
|
||||
("minute", -0.6931471805599453)],
|
||||
n = 4}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
@ -1145,19 +1213,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
ClassData{prior = 0.0, unseen = -4.762173934797756,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Marchinteger (0..10)", -2.6210388241125804),
|
||||
("Marchinteger (numeric)", -3.0910424533583156),
|
||||
("Aprilinteger (numeric)", -3.6018680771243066),
|
||||
("Februaryinteger (0..10)", -2.6210388241125804),
|
||||
("Februarynumber suffix: \21313|\25342", -2.6210388241125804),
|
||||
("month", -0.7492366472109889),
|
||||
("Februaryinteger (numeric)", -2.503255788456197),
|
||||
[("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",
|
||||
-1.8672670217362002)],
|
||||
n = 51},
|
||||
-1.8091512119399242)],
|
||||
n = 54},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -1191,14 +1259,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("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 = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
ClassData{prior = -0.6026331730191135,
|
||||
unseen = -5.3471075307174685,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 208},
|
||||
koData =
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
ClassData{prior = -0.7926767759069784, unseen = -5.159055299214529,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 172}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -1236,27 +1311,25 @@ classifiers
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
ClassData{prior = 0.0, unseen = -4.02535169073515,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4159137783010487),
|
||||
("integer (0..10)hour (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491week (grain)", -2.9267394020670396),
|
||||
("second", -2.9267394020670396),
|
||||
("integer (0..10)day (grain)", -2.4159137783010487),
|
||||
("integer (0..10)year (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491month (grain)", -2.9267394020670396),
|
||||
("integer (0..10)second (grain)", -2.9267394020670396),
|
||||
("day", -2.4159137783010487), ("year", -2.9267394020670396),
|
||||
("integer (0..10)minute (grain)", -2.9267394020670396),
|
||||
("hour", -2.4159137783010487),
|
||||
("integer (0..10)week (grain)", -2.9267394020670396),
|
||||
("month", -2.9267394020670396),
|
||||
("<number>\20010/\20491hour (grain)", -2.9267394020670396),
|
||||
("minute", -2.9267394020670396)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
@ -1281,11 +1354,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number suffix: \21313|\25342",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
ClassData{prior = -0.18924199963852842,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
ClassData{prior = -1.7578579175523736,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
@ -1322,11 +1395,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 29},
|
||||
ClassData{prior = -0.2006706954621511,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -3.509131981127006e-2)],
|
||||
n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.7047480922384253,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("one point 2", -0.9808292530117262),
|
||||
("integer (0..10)", -0.4700036292457356)],
|
||||
n = 6}}),
|
||||
("\24773\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
|
@ -35,6 +35,20 @@ classifiers
|
||||
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 = 0.0, 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 = -infinity, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\21360\24230\20016\25910\33410\31532\22235\22825",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
@ -64,11 +78,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("integer (numeric)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.535142931416697, unseen = -4.204692619390966,
|
||||
ClassData{prior = -0.621403275701104, unseen = -4.204692619390966,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 65},
|
||||
koData =
|
||||
ClassData{prior = -0.8808888048232392, unseen = -3.871201010907891,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
|
||||
ClassData{prior = -0.7704388548615918, unseen = -4.060443010546419,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 56}}),
|
||||
("\21355\22622\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
@ -145,29 +159,29 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("month (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0541605260972757,
|
||||
ClassData{prior = -1.0840134892469568,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
koData =
|
||||
ClassData{prior = -0.42845462633286313,
|
||||
unseen = -3.8066624897703196,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 43}}),
|
||||
ClassData{prior = -0.41284521540578695,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 45}}),
|
||||
("<time-of-day> o'clock",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
|
||||
ClassData{prior = -1.2367626271489267, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
unseen = -2.5649493574615367,
|
||||
ClassData{prior = -0.3429447511268303,
|
||||
unseen = -3.8501476017100584,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 5}}),
|
||||
n = 22}}),
|
||||
("Wednesday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -5.715841383994864e-2,
|
||||
@ -216,71 +230,73 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("intersect",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.39204208777602373,
|
||||
unseen = -5.198497031265826,
|
||||
ClassData{prior = -0.3968813644167729, unseen = -5.247024072160486,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-3.58351893845611),
|
||||
-3.632309102625542),
|
||||
("year (numeric with year symbol)\20809\26126\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("xxxx year<named-month> <day-of-month>", -3.855452653939752),
|
||||
("year (numeric with year symbol)\25995\26376",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\20061\22812\33410",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)<named-month> <day-of-month>",
|
||||
-2.3597435068339943),
|
||||
-2.4085336710034264),
|
||||
("year (numeric with year symbol)\22320\29699\19968\23567\26102",
|
||||
-4.0943445622221),
|
||||
("dayday", -2.4849066497880004),
|
||||
("hourhour", -3.58351893845611),
|
||||
("hourminute", -3.58351893845611),
|
||||
-4.143134726391533),
|
||||
("dayday", -2.5336968139574325),
|
||||
("hourhour", -3.632309102625542),
|
||||
("hourminute", -3.632309102625542),
|
||||
("absorption of , after named day<named-month> <day-of-month>",
|
||||
-2.4849066497880004),
|
||||
-2.5336968139574325),
|
||||
("year (numeric with year symbol)\22823\25995\26399",
|
||||
-3.8066624897703196),
|
||||
-3.855452653939752),
|
||||
("year (numeric with year symbol)\22235\26092\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\20303\26842\33410",
|
||||
-4.0943445622221),
|
||||
("dayminute", -3.58351893845611),
|
||||
("tonight<time-of-day> o'clock", -3.58351893845611),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.58351893845611),
|
||||
("yearday", -1.3217558399823195),
|
||||
-4.143134726391533),
|
||||
("dayminute", -3.632309102625542),
|
||||
("tonight<time-of-day> o'clock", -3.632309102625542),
|
||||
("yearday", -1.3099213823353166),
|
||||
("year (numeric with year symbol)\19971\19971\33410",
|
||||
-3.1135153092103742),
|
||||
-3.1623054733798064),
|
||||
("year (numeric with year symbol)\36926\36234\33410",
|
||||
-4.0943445622221),
|
||||
-4.143134726391533),
|
||||
("year (numeric with year symbol)\29369\22826\26032\24180",
|
||||
-4.0943445622221),
|
||||
("yearminute", -4.0943445622221)],
|
||||
n = 75},
|
||||
-4.143134726391533),
|
||||
("yearminute", -4.143134726391533),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.632309102625542)],
|
||||
n = 78},
|
||||
koData =
|
||||
ClassData{prior = -1.126011262856224, unseen = -4.634728988229636,
|
||||
ClassData{prior = -1.1160040313799788, unseen = -4.700480365792417,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("\20799\31461\33410<part-of-day> <dim time>",
|
||||
-2.4277482359480516),
|
||||
("dayhour", -3.0155349008501706),
|
||||
("daymonth", -2.5455312716044354),
|
||||
-2.4941233048929243),
|
||||
("dayhour", -3.0819099697950434),
|
||||
("daymonth", -2.6119063405493077),
|
||||
("year (numeric with year symbol)February",
|
||||
-3.0155349008501706),
|
||||
("year (numeric with year symbol)Sunday", -3.9318256327243257),
|
||||
-3.0819099697950434),
|
||||
("year (numeric with year symbol)Sunday", -3.9982007016691985),
|
||||
("<dim time> <part-of-day><time-of-day> o'clock",
|
||||
-3.5263605246161616),
|
||||
("year (numeric with year symbol)April", -3.5263605246161616),
|
||||
("hourhour", -3.5263605246161616),
|
||||
("year (numeric with year symbol)March", -2.4277482359480516),
|
||||
("hourminute", -3.0155349008501706),
|
||||
("yearmonth", -1.916922612182061),
|
||||
("dayminute", -3.0155349008501706),
|
||||
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
|
||||
-3.0155349008501706),
|
||||
("yearday", -3.9318256327243257),
|
||||
-3.592735593561034),
|
||||
("year (numeric with year symbol)April", -3.592735593561034),
|
||||
("hourhour", -3.592735593561034),
|
||||
("xxxx yearFebruary", -3.9982007016691985),
|
||||
("year (numeric with year symbol)March", -2.4941233048929243),
|
||||
("hourminute", -3.0819099697950434),
|
||||
("yearmonth", -1.8581345381729275),
|
||||
("dayminute", -3.0819099697950434),
|
||||
("xxxx yearMarch", -3.9982007016691985),
|
||||
("yearday", -3.9982007016691985),
|
||||
("absorption of , after named dayFebruary",
|
||||
-2.5455312716044354)],
|
||||
n = 36}}),
|
||||
-2.6119063405493077),
|
||||
("<dim time> <part-of-day>relative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-3.0819099697950434)],
|
||||
n = 38}}),
|
||||
("\20399\20029\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
@ -290,12 +306,13 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("year (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.6625477377480489,
|
||||
ClassData{prior = -1.6964492894237302,
|
||||
unseen = -2.5649493574615367,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
|
||||
koData =
|
||||
ClassData{prior = -0.2102954088363608, unseen = -3.891820298110627,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 47}}),
|
||||
ClassData{prior = -0.2025242641114741,
|
||||
unseen = -3.9318256327243257,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
|
||||
("Saturday",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.8754687373538999,
|
||||
@ -451,26 +468,39 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
|
||||
("hh:mm (time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
|
||||
ClassData{prior = 0.0, unseen = -2.4849066497880004,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
("relative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -2.9444389791664407,
|
||||
ClassData{prior = 0.0, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.2809338454620642),
|
||||
("integer (0..10)", -0.325422400434628)],
|
||||
n = 16},
|
||||
[("<integer> (latent time-of-day)integer (0..10)",
|
||||
-0.6931471805599453),
|
||||
("hour", -0.6931471805599453)],
|
||||
n = 9},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
unseen = -1.9459101490553135,
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<integer> (latent time-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.3101549283038396,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (numeric)", -0.1823215567939546)],
|
||||
n = 4}}),
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -1.9740810260220096),
|
||||
("integer (0..10)", -0.1823215567939546)],
|
||||
n = 33},
|
||||
koData =
|
||||
ClassData{prior = -1.3217558399823195, unseen = -2.772588722239781,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (numeric)", -0.5108256237659907),
|
||||
("one point 2", -1.0986122886681098)],
|
||||
n = 12}}),
|
||||
("\36926\36234\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -534,6 +564,26 @@ classifiers
|
||||
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 = -0.5465437063680699, unseen = -3.891820298110627,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7357067949787413),
|
||||
("hour", -0.7357067949787413)],
|
||||
n = 22},
|
||||
koData =
|
||||
ClassData{prior = -0.8649974374866046,
|
||||
unseen = -3.6109179126442243,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.750305594399894)],
|
||||
n = 16}}),
|
||||
("year (numeric with year symbol)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.891820298110627,
|
||||
@ -664,8 +714,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
|
||||
("afternoon",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -692,8 +742,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("February",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.2188758248682006,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 23},
|
||||
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}}),
|
||||
@ -718,8 +768,20 @@ classifiers
|
||||
n = 23}}),
|
||||
("minute (grain)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.890371757896165,
|
||||
ClassData{prior = -0.3184537311185346, unseen = -2.890371757896165,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
|
||||
koData =
|
||||
ClassData{prior = -1.2992829841302609,
|
||||
unseen = -2.0794415416798357,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("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}}),
|
||||
@ -739,62 +801,66 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<part-of-day> <dim time>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6097655716208943, unseen = -4.07753744390572,
|
||||
ClassData{prior = -0.7507762933965817, unseen = -4.859812404361672,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("tonight<integer> (latent time-of-day)", -2.451005098112319),
|
||||
("hourhour", -1.3523928094442093),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.6625477377480489),
|
||||
("afternoon<time-of-day> o'clock", -2.6741486494265287),
|
||||
("hourminute", -1.575536360758419),
|
||||
[("tonight<integer> (latent time-of-day)", -3.242592351485517),
|
||||
("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-1.7165360479904674),
|
||||
("hourhour", -2.1439800628174073),
|
||||
("afternoon<time-of-day> o'clock", -3.4657359027997265),
|
||||
("hourminute", -1.0233888674305223),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-2.6741486494265287),
|
||||
("afternoonhh:mm (time-of-day)", -3.367295829986474),
|
||||
("tonight<time-of-day> o'clock", -2.451005098112319)],
|
||||
n = 25},
|
||||
-3.4657359027997265),
|
||||
("afternoonrelative (1-9) minutes after|past <integer> (hour-of-day)",
|
||||
-2.5494451709255714),
|
||||
("afternoonhh:mm (time-of-day)", -3.7534179752515073),
|
||||
("tonight<time-of-day> o'clock", -3.242592351485517),
|
||||
("afternoonnumber of 5 minutes after|past <integer> (hour-of-day)",
|
||||
-2.2870809064580806)],
|
||||
n = 59},
|
||||
koData =
|
||||
ClassData{prior = -0.7841189587656721,
|
||||
unseen = -3.9318256327243257,
|
||||
ClassData{prior = -0.6386589952758756, unseen = -4.962844630259907,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hourhour", -1.4271163556401458),
|
||||
("afternoonrelative minutes after|past <integer> (hour-of-day)",
|
||||
-1.5141277326297755),
|
||||
("afternoon<time-of-day> o'clock", -2.120263536200091),
|
||||
("hourminute", -1.5141277326297755),
|
||||
[("afternoonrelative (10-59) minutes after|past <integer> (hour-of-day)",
|
||||
-2.1226137135450447),
|
||||
("hourhour", -1.024001424876935),
|
||||
("afternoon<time-of-day> o'clock", -1.820332841672111),
|
||||
("hourminute", -2.1226137135450447),
|
||||
("afternoon<integer> (latent time-of-day)",
|
||||
-1.9661128563728327)],
|
||||
n = 21}}),
|
||||
-1.5885312276147867)],
|
||||
n = 66}}),
|
||||
("<integer> <unit-of-duration>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -3.044522437723423,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -6.12029741895095,
|
||||
ClassData{prior = 0.0, unseen = -6.18826412308259,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("number suffix: \21313|\25342month (grain)",
|
||||
-4.508659285607248),
|
||||
("week", -2.8992213731731473),
|
||||
("integer (0..10)month (grain)", -2.7168998163791924),
|
||||
("integer (0..10)hour (grain)", -3.1736582188749076),
|
||||
("<number>\20010/\20491week (grain)", -3.720201925242977),
|
||||
("second", -3.4790398684260895),
|
||||
("integer (0..10)day (grain)", -2.982602982112198),
|
||||
("integer (0..10)year (grain)", -3.8155121050473024),
|
||||
("<number>\20010/\20491month (grain)", -3.3455084758015667),
|
||||
("integer (numeric)year (grain)", -2.246896187133457),
|
||||
("integer (0..10)second (grain)", -3.4790398684260895),
|
||||
("day", -2.982602982112198), ("year", -2.0750459302067976),
|
||||
("integer (0..10)minute (grain)", -3.2848838539851317),
|
||||
("hour", -2.982602982112198),
|
||||
("integer (0..10)week (grain)", -3.410046996939138),
|
||||
("month", -1.9437099281457109),
|
||||
("<number>\20010/\20491hour (grain)", -4.508659285607248),
|
||||
("integer (numeric)month (grain)", -3.2848838539851317),
|
||||
("minute", -3.2848838539851317)],
|
||||
n = 217}}),
|
||||
-4.576770711466393),
|
||||
("week", -2.967332799032293),
|
||||
("integer (0..10)month (grain)", -2.720472721100767),
|
||||
("integer (0..10)hour (grain)", -3.050714407971344),
|
||||
("<number>\20010/\20491week (grain)", -3.788313351102123),
|
||||
("second", -3.5471512942852352),
|
||||
("integer (0..10)day (grain)", -3.050714407971344),
|
||||
("integer (0..10)year (grain)", -3.7013019741124937),
|
||||
("<number>\20010/\20491month (grain)", -3.4136199016607125),
|
||||
("integer (numeric)year (grain)", -2.315007612992603),
|
||||
("integer (0..10)second (grain)", -3.5471512942852352),
|
||||
("day", -3.050714407971344), ("year", -2.1086711799947744),
|
||||
("integer (0..10)minute (grain)", -3.050714407971344),
|
||||
("hour", -3.050714407971344),
|
||||
("integer (0..10)week (grain)", -3.4781584227982836),
|
||||
("month", -1.9815160045095277),
|
||||
("integer (numeric)month (grain)", -3.3529952798442775),
|
||||
("integer with consecutive unit modifiersminute (grain)",
|
||||
-4.24029847484518),
|
||||
("minute", -2.81891279391402)],
|
||||
n = 233}}),
|
||||
("\32769\26495\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.3862943611198906,
|
||||
@ -811,56 +877,35 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("<time-of-day> am|pm",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
|
||||
ClassData{prior = -0.5596157879354228, unseen = -3.044522437723423,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("hh:mm (time-of-day)", -1.252762968495368),
|
||||
("<integer> (latent time-of-day)", -1.540445040947149),
|
||||
("hour", -1.540445040947149), ("minute", -1.252762968495368)],
|
||||
n = 5},
|
||||
[("hh:mm (time-of-day)", -1.0498221244986778),
|
||||
("<integer> (latent time-of-day)", -1.8971199848858813),
|
||||
("hour", -1.8971199848858813), ("minute", -1.0498221244986778)],
|
||||
n = 8},
|
||||
koData =
|
||||
ClassData{prior = -0.9808292530117262,
|
||||
unseen = -2.3978952727983707,
|
||||
ClassData{prior = -0.8472978603872037, unseen = -2.833213344056216,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)", -0.916290731874155),
|
||||
("hour", -0.916290731874155)],
|
||||
n = 3}}),
|
||||
("relative minutes after|past <integer> (hour-of-day)",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)integer with consecutive unit modifiers",
|
||||
-0.7801585575495751),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10},
|
||||
koData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
unseen = -3.2188758248682006,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("<integer> (latent time-of-day)number suffix: \21313|\25342",
|
||||
-1.3862943611198906),
|
||||
("<integer> (latent time-of-day)integer (0..10)",
|
||||
-1.3862943611198906),
|
||||
("hour", -0.7801585575495751)],
|
||||
n = 10}}),
|
||||
[("<integer> (latent time-of-day)", -0.8266785731844679),
|
||||
("hour", -0.8266785731844679)],
|
||||
n = 6}}),
|
||||
("one point 2",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.3862943611198906,
|
||||
ClassData{prior = -infinity, unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
ClassData{prior = 0.0, unseen = -3.5553480614894135,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer (0..10)", -1.3217558399823195),
|
||||
[("integer (0..10)integer (0..10)", -0.8873031950009028),
|
||||
("integer (0..10)number suffix: \21313|\25342",
|
||||
-1.3217558399823195),
|
||||
-1.7346010553881064),
|
||||
("integer (0..10)integer with consecutive unit modifiers",
|
||||
-0.7621400520468967)],
|
||||
n = 12}}),
|
||||
-1.128465251817791),
|
||||
("integer (0..10)<number>\20010/\20491", -2.4277482359480516)],
|
||||
n = 30}}),
|
||||
("intersect by \",\"",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.40546510810816444,
|
||||
@ -894,16 +939,20 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("integer with consecutive unit modifiers",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.367295829986474,
|
||||
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 = 26},
|
||||
n = 34},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
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,
|
||||
@ -967,8 +1016,8 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("March",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
|
||||
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}}),
|
||||
@ -981,11 +1030,12 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("the day after tomorrow",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.6094379124341003,
|
||||
ClassData{prior = -0.5108256237659907,
|
||||
unseen = -1.6094379124341003,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
|
||||
("\22307\21608\20845",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.6931471805599453,
|
||||
@ -1066,27 +1116,25 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("next n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.61512051684126,
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4079456086518722),
|
||||
("integer (0..10)hour (grain)", -2.659260036932778),
|
||||
("<number>\20010/\20491week (grain)", -2.995732273553991),
|
||||
("second", -2.8134107167600364),
|
||||
("integer (0..10)day (grain)", -2.5257286443082556),
|
||||
("integer (0..10)year (grain)", -3.2188758248682006),
|
||||
("<number>\20010/\20491month (grain)", -2.8134107167600364),
|
||||
("integer (0..10)second (grain)", -2.8134107167600364),
|
||||
("day", -2.5257286443082556), ("year", -3.2188758248682006),
|
||||
("integer (0..10)minute (grain)", -2.659260036932778),
|
||||
("hour", -2.4079456086518722),
|
||||
("integer (0..10)week (grain)", -2.995732273553991),
|
||||
("month", -2.8134107167600364),
|
||||
("<number>\20010/\20491hour (grain)", -3.506557897319982),
|
||||
("minute", -2.659260036932778)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\19975\22307\33410",
|
||||
Classifier{okData =
|
||||
@ -1102,6 +1150,14 @@ classifiers
|
||||
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,
|
||||
@ -1124,6 +1180,18 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number.number minutes",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -infinity, unseen = -1.0986122886681098,
|
||||
likelihoods = HashMap.fromList [], n = 0},
|
||||
koData =
|
||||
ClassData{prior = 0.0, unseen = -2.3978952727983707,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("integer (0..10)integer with consecutive unit modifiersminute (grain)",
|
||||
-0.6931471805599453),
|
||||
("minute", -0.6931471805599453)],
|
||||
n = 4}}),
|
||||
("\32822\31267\21463\38590\26085",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -1.0296194171811581,
|
||||
@ -1135,19 +1203,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 9}}),
|
||||
("<named-month> <day-of-month>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.709530201312334,
|
||||
ClassData{prior = 0.0, unseen = -4.762173934797756,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("Marchinteger (0..10)", -2.6210388241125804),
|
||||
("Marchinteger (numeric)", -3.0910424533583156),
|
||||
("Aprilinteger (numeric)", -3.6018680771243066),
|
||||
("Februaryinteger (0..10)", -2.6210388241125804),
|
||||
("Februarynumber suffix: \21313|\25342", -2.6210388241125804),
|
||||
("month", -0.7492366472109889),
|
||||
("Februaryinteger (numeric)", -2.503255788456197),
|
||||
[("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",
|
||||
-1.8672670217362002)],
|
||||
n = 51},
|
||||
-1.8091512119399242)],
|
||||
n = 54},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -2.1972245773362196,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
@ -1181,14 +1249,21 @@ classifiers
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("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 = -0.7055697005585025,
|
||||
unseen = -5.0875963352323845,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 160},
|
||||
ClassData{prior = -0.6026331730191135,
|
||||
unseen = -5.3471075307174685,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 208},
|
||||
koData =
|
||||
ClassData{prior = -0.680877087968131, unseen = -5.111987788356543,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 164}}),
|
||||
ClassData{prior = -0.7926767759069784, unseen = -5.159055299214529,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 172}}),
|
||||
("last n <cycle>",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.605170185988091,
|
||||
@ -1226,27 +1301,25 @@ classifiers
|
||||
n = 10}}),
|
||||
("n <cycle> last",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -4.04305126783455,
|
||||
ClassData{prior = 0.0, unseen = -4.02535169073515,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("week", -2.4159137783010487),
|
||||
("integer (0..10)hour (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491week (grain)", -2.9267394020670396),
|
||||
("second", -2.9267394020670396),
|
||||
("integer (0..10)day (grain)", -2.4159137783010487),
|
||||
("integer (0..10)year (grain)", -2.9267394020670396),
|
||||
("<number>\20010/\20491month (grain)", -2.9267394020670396),
|
||||
("integer (0..10)second (grain)", -2.9267394020670396),
|
||||
("day", -2.4159137783010487), ("year", -2.9267394020670396),
|
||||
("integer (0..10)minute (grain)", -2.9267394020670396),
|
||||
("hour", -2.4159137783010487),
|
||||
("integer (0..10)week (grain)", -2.9267394020670396),
|
||||
("month", -2.9267394020670396),
|
||||
("<number>\20010/\20491hour (grain)", -2.9267394020670396),
|
||||
("minute", -2.9267394020670396)],
|
||||
[("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 = -2.833213344056216,
|
||||
ClassData{prior = -infinity, unseen = -2.772588722239781,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("\24527\24724\33410",
|
||||
Classifier{okData =
|
||||
@ -1271,11 +1344,11 @@ classifiers
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
("number suffix: \21313|\25342",
|
||||
Classifier{okData =
|
||||
ClassData{prior = -0.2231435513142097,
|
||||
unseen = -3.0910424533583156,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
|
||||
ClassData{prior = -0.18924199963852842,
|
||||
unseen = -3.258096538021482,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
|
||||
koData =
|
||||
ClassData{prior = -1.6094379124341003,
|
||||
ClassData{prior = -1.7578579175523736,
|
||||
unseen = -1.9459101490553135,
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
|
||||
("\22320\29699\19968\23567\26102",
|
||||
@ -1312,11 +1385,19 @@ classifiers
|
||||
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
|
||||
("<number>\20010/\20491",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -3.4339872044851463,
|
||||
likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 29},
|
||||
ClassData{prior = -0.2006706954621511,
|
||||
unseen = -3.4011973816621555,
|
||||
likelihoods =
|
||||
HashMap.fromList [("integer (0..10)", -3.509131981127006e-2)],
|
||||
n = 27},
|
||||
koData =
|
||||
ClassData{prior = -infinity, unseen = -0.6931471805599453,
|
||||
likelihoods = HashMap.fromList [], n = 0}}),
|
||||
ClassData{prior = -1.7047480922384253,
|
||||
unseen = -2.1972245773362196,
|
||||
likelihoods =
|
||||
HashMap.fromList
|
||||
[("one point 2", -0.9808292530117262),
|
||||
("integer (0..10)", -0.4700036292457356)],
|
||||
n = 6}}),
|
||||
("\24773\20154\33410",
|
||||
Classifier{okData =
|
||||
ClassData{prior = 0.0, unseen = -1.9459101490553135,
|
||||
|
@ -19,6 +19,7 @@ import Duckling.Locale
|
||||
import Duckling.Types
|
||||
import qualified Duckling.AmountOfMoney.ZH.Rules as AmountOfMoney
|
||||
import qualified Duckling.Distance.ZH.Rules as Distance
|
||||
import qualified Duckling.Duration.ZH.Rules as Duration
|
||||
import qualified Duckling.Numeral.ZH.Rules as Numeral
|
||||
import qualified Duckling.Ordinal.ZH.Rules as Ordinal
|
||||
import qualified Duckling.Quantity.ZH.Rules as Quantity
|
||||
@ -45,7 +46,7 @@ langRules :: Seal Dimension -> [Rule]
|
||||
langRules (Seal AmountOfMoney) = AmountOfMoney.rules
|
||||
langRules (Seal CreditCardNumber) = []
|
||||
langRules (Seal Distance) = Distance.rules
|
||||
langRules (Seal Duration) = []
|
||||
langRules (Seal Duration) = Duration.rules
|
||||
langRules (Seal Email) = []
|
||||
langRules (Seal Numeral) = Numeral.rules
|
||||
langRules (Seal Ordinal) = Ordinal.rules
|
||||
|
@ -60,6 +60,10 @@ allExamples = concat
|
||||
, "後天"
|
||||
, "後日"
|
||||
]
|
||||
, examples (datetime (2013, 2, 15, 0, 0, 0) Day)
|
||||
[ "大後日"
|
||||
, "大後天"
|
||||
]
|
||||
, examples (datetime (2013, 2, 10, 0, 0, 0) Day)
|
||||
[ "前天"
|
||||
, "前日"
|
||||
@ -177,6 +181,7 @@ allExamples = concat
|
||||
, "3/3/15"
|
||||
, "2015-3-3"
|
||||
, "2015-03-03"
|
||||
, "二零一五年三月三號"
|
||||
]
|
||||
, examples (datetime (2013, 2, 15, 0, 0, 0) Day)
|
||||
[ "2013年2月15号"
|
||||
@ -188,6 +193,7 @@ allExamples = concat
|
||||
, "2月15號"
|
||||
, "二月十五號"
|
||||
, "2/15"
|
||||
, "二零一三年二月十五號"
|
||||
]
|
||||
, examples (datetime (1974, 10, 31, 0, 0, 0) Day)
|
||||
[ "10/31/1974"
|
||||
@ -449,6 +455,30 @@ allExamples = concat
|
||||
, "3:15p"
|
||||
, "下午三點十五"
|
||||
, "晏晝三點十五"
|
||||
, "下午三点十五分"
|
||||
, "下午三點十五分"
|
||||
, "晏晝三點十五分"
|
||||
, "晏晝三點三"
|
||||
, "晏晝三點踏三"
|
||||
, "晏晝三點搭三"
|
||||
, "晏晝三點三個字"
|
||||
]
|
||||
, examples (datetime (2013, 2, 12, 15, 05, 0) Minute)
|
||||
[ "下午三点零五"
|
||||
, "下午3:05"
|
||||
, "15:05"
|
||||
, "3:05pm"
|
||||
, "3:05PM"
|
||||
, "3:05p"
|
||||
, "下午三點零五"
|
||||
, "晏晝三點零五"
|
||||
, "下午三点零五分"
|
||||
, "下午三點零五分"
|
||||
, "晏晝三點零五分"
|
||||
, "晏晝三點一"
|
||||
, "晏晝三點踏一"
|
||||
, "晏晝三點搭一"
|
||||
, "晏晝三點一個字"
|
||||
]
|
||||
, examples (datetime (2013, 2, 12, 13, 0, 0) Minute)
|
||||
[ "4pm CET"
|
||||
|
@ -19,6 +19,7 @@ import qualified Data.Text as Text
|
||||
|
||||
import Duckling.Dimensions.Types
|
||||
import Duckling.Numeral.Helpers (parseInt)
|
||||
import Duckling.Numeral.Types (NumeralData(..))
|
||||
import Duckling.Regex.Types
|
||||
import Duckling.Time.Computed
|
||||
import Duckling.Time.Helpers
|
||||
@ -27,6 +28,7 @@ import Duckling.Types
|
||||
import qualified Duckling.Ordinal.Types as TOrdinal
|
||||
import qualified Duckling.Time.Types as TTime
|
||||
import qualified Duckling.TimeGrain.Types as TG
|
||||
import qualified Duckling.Numeral.Types as TNumeral
|
||||
|
||||
ruleTheDayAfterTomorrow :: Rule
|
||||
ruleTheDayAfterTomorrow = Rule
|
||||
@ -37,6 +39,15 @@ ruleTheDayAfterTomorrow = Rule
|
||||
, prod = \_ -> tt $ cycleNth TG.Day 2
|
||||
}
|
||||
|
||||
ruleTwoDaysAfterTomorrow :: Rule
|
||||
ruleTwoDaysAfterTomorrow = Rule
|
||||
{ name = "two days after tomorrow"
|
||||
, pattern =
|
||||
[ regex "大后天|大後天|大後日"
|
||||
]
|
||||
, prod = \_ -> tt $ cycleNth TG.Day 3
|
||||
}
|
||||
|
||||
ruleRelativeMinutesTotillbeforeIntegerHourofday :: Rule
|
||||
ruleRelativeMinutesTotillbeforeIntegerHourofday = Rule
|
||||
{ name = "relative minutes to|till|before <integer> (hour-of-day)"
|
||||
@ -69,11 +80,11 @@ ruleRelativeMinutesTotillbeforeNoonmidnight = Rule
|
||||
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday :: Rule
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday = Rule
|
||||
{ name = "relative minutes after|past <integer> (hour-of-day)"
|
||||
{ name = "relative (10-59) minutes after|past <integer> (hour-of-day)"
|
||||
, pattern =
|
||||
[ Predicate isAnHourOfDay
|
||||
, regex "点|點"
|
||||
, Predicate $ isIntegerBetween 1 59
|
||||
, Predicate $ isIntegerBetween 10 59
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Time TimeData {TTime.form = Just (TTime.TimeOfDay (Just hours) _)}:
|
||||
@ -85,6 +96,117 @@ ruleRelativeMinutesAfterpastIntegerHourofday = Rule
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday2 :: Rule
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday2 = Rule
|
||||
{ name = "relative (10-59) minutes after|past <integer> (hour-of-day)"
|
||||
, pattern =
|
||||
[ Predicate isAnHourOfDay
|
||||
, regex "点|點"
|
||||
, Predicate $ isIntegerBetween 10 59
|
||||
, regex "分"
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Time TimeData {TTime.form = Just (TTime.TimeOfDay (Just hours) _)}:
|
||||
_:
|
||||
token:
|
||||
_) -> do
|
||||
n <- getIntValue token
|
||||
tt $ hourMinute True hours n
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday3 :: Rule
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday3 = Rule
|
||||
{ name = "relative (1-9) minutes after|past <integer> (hour-of-day)"
|
||||
, pattern =
|
||||
[ Predicate isAnHourOfDay
|
||||
, regex "点零|點零"
|
||||
, Predicate $ isIntegerBetween 1 9
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Time TimeData {TTime.form = Just (TTime.TimeOfDay (Just hours) _)}:
|
||||
_:
|
||||
token:
|
||||
_) -> do
|
||||
n <- getIntValue token
|
||||
tt $ hourMinute True hours n
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday4 :: Rule
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday4 = Rule
|
||||
{ name = "relative (1-9) minutes after|past <integer> (hour-of-day)"
|
||||
, pattern =
|
||||
[ Predicate isAnHourOfDay
|
||||
, regex "点零|點零"
|
||||
, Predicate $ isIntegerBetween 1 9
|
||||
, regex "分"
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Time TimeData {TTime.form = Just (TTime.TimeOfDay (Just hours) _)}:
|
||||
_:
|
||||
token:
|
||||
_) -> do
|
||||
n <- getIntValue token
|
||||
tt $ hourMinute True hours n
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday5 :: Rule
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday5 = Rule
|
||||
{ name = "number of 5 minutes after|past <integer> (hour-of-day)"
|
||||
, pattern =
|
||||
[ Predicate isAnHourOfDay
|
||||
, regex "点踏|點踏|点搭|點搭"
|
||||
, Predicate $ isIntegerBetween 1 11
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Time TimeData {TTime.form = Just (TTime.TimeOfDay (Just hours) _)}:
|
||||
_:
|
||||
token:
|
||||
_) -> do
|
||||
n <- getIntValue token
|
||||
tt $ hourMinute True hours (5*n)
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday6 :: Rule
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday6 = Rule
|
||||
{ name = "number of 5 minutes after|past <integer> (hour-of-day)"
|
||||
, pattern =
|
||||
[ Predicate isAnHourOfDay
|
||||
, regex "点|點"
|
||||
, Predicate $ isIntegerBetween 1 9
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Time TimeData {TTime.form = Just (TTime.TimeOfDay (Just hours) _)}:
|
||||
_:
|
||||
token:
|
||||
_) -> do
|
||||
n <- getIntValue token
|
||||
tt $ hourMinute True hours (5*n)
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday7 :: Rule
|
||||
ruleRelativeMinutesAfterpastIntegerHourofday7 = Rule
|
||||
{ name = "number of 5 minutes after|past <integer> (hour-of-day)"
|
||||
, pattern =
|
||||
[ Predicate isAnHourOfDay
|
||||
, regex "点|點"
|
||||
, Predicate $ isIntegerBetween 1 11
|
||||
, regex "個字"
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Time TimeData {TTime.form = Just (TTime.TimeOfDay (Just hours) _)}:
|
||||
_:
|
||||
token:
|
||||
_) -> do
|
||||
n <- getIntValue token
|
||||
tt $ hourMinute True hours (5*n)
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleRelativeMinutesAfterpastNoonmidnight :: Rule
|
||||
ruleRelativeMinutesAfterpastNoonmidnight = Rule
|
||||
{ name = "relative minutes after|past noon|midnight"
|
||||
@ -478,6 +600,27 @@ ruleYearNumericWithYearSymbol = Rule
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleYearNumericWithYearSymbol2 :: Rule
|
||||
ruleYearNumericWithYearSymbol2 = Rule
|
||||
{ name = "xxxx year"
|
||||
, pattern =
|
||||
[ dimension Numeral
|
||||
, dimension Numeral
|
||||
, dimension Numeral
|
||||
, dimension Numeral
|
||||
, regex "年"
|
||||
]
|
||||
, prod = \tokens -> case tokens of
|
||||
(Token Numeral NumeralData{TNumeral.value = y1}:
|
||||
Token Numeral NumeralData{TNumeral.value = y2}:
|
||||
Token Numeral NumeralData{TNumeral.value = y3}:
|
||||
Token Numeral NumeralData{TNumeral.value = y4}:
|
||||
_) -> do
|
||||
let v = floor(y1*1000 + y2*100 + y3*10 + y4)
|
||||
tt $ year v
|
||||
_ -> Nothing
|
||||
}
|
||||
|
||||
ruleDurationAgo :: Rule
|
||||
ruleDurationAgo = Rule
|
||||
{ name = "<duration> ago"
|
||||
@ -1154,6 +1297,7 @@ rules =
|
||||
, ruleTheCycleAfterTime
|
||||
, ruleTheCycleBeforeTime
|
||||
, ruleTheDayAfterTomorrow
|
||||
, ruleTwoDaysAfterTomorrow
|
||||
, ruleTheDayBeforeYesterday
|
||||
, ruleThisCycle
|
||||
, ruleThisDayofweek
|
||||
@ -1168,9 +1312,16 @@ rules =
|
||||
, ruleTonight
|
||||
, ruleWeekend
|
||||
, ruleYearNumericWithYearSymbol
|
||||
, ruleYearNumericWithYearSymbol2
|
||||
, ruleYesterday
|
||||
, ruleYyyymmdd
|
||||
, ruleTimezone
|
||||
, ruleRelativeMinutesAfterpastIntegerHourofday2
|
||||
, ruleRelativeMinutesAfterpastIntegerHourofday3
|
||||
, ruleRelativeMinutesAfterpastIntegerHourofday4
|
||||
, ruleRelativeMinutesAfterpastIntegerHourofday5
|
||||
, ruleRelativeMinutesAfterpastIntegerHourofday6
|
||||
, ruleRelativeMinutesAfterpastIntegerHourofday7
|
||||
]
|
||||
++ ruleDaysOfWeek
|
||||
++ ruleMonths
|
||||
|
@ -23,7 +23,7 @@ grains :: [(Text, String, TG.Grain)]
|
||||
grains = [ ("second (grain)", "秒(钟|鐘)?", TG.Second)
|
||||
, ("minute (grain)", "分(钟|鐘)?", TG.Minute)
|
||||
, ("hour (grain)",
|
||||
"小时|小時|鐘(\x982d)?", TG.Hour)
|
||||
"小时|小時|個鐘|鐘(\x982d)?", TG.Hour)
|
||||
, ("day (grain)", "天|日", TG.Day)
|
||||
, ("week (grain)",
|
||||
"周|週|礼拜|禮拜|星期", TG.Week)
|
||||
|
@ -378,6 +378,7 @@ library
|
||||
, Duckling.Duration.UK.Corpus
|
||||
, Duckling.Duration.UK.Rules
|
||||
, Duckling.Duration.ZH.Corpus
|
||||
, Duckling.Duration.ZH.Rules
|
||||
, Duckling.Duration.Helpers
|
||||
, Duckling.Duration.Rules
|
||||
, Duckling.Duration.Types
|
||||
|
Loading…
Reference in New Issue
Block a user