duckling/Duckling/Numeral/TR/Corpus.hs

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-- Copyright (c) 2016-present, Facebook, Inc.
-- All rights reserved.
--
-- This source code is licensed under the BSD-style license found in the
-- LICENSE file in the root directory of this source tree. An additional grant
-- of patent rights can be found in the PATENTS file in the same directory.
{-# LANGUAGE OverloadedStrings #-}
module Duckling.Numeral.TR.Corpus
( corpus ) where
import Prelude
import Data.String
Locales support Summary: * Locales support for the library, following `<Lang>_<Region>` with ISO 639-1 code for `<Lang>` and ISO 3166-1 alpha-2 code for `<Region>` (#33) * `Locale` opaque type (composite of `Lang` and `Region`) with `makeLocale` smart constructor to only allow valid `(Lang, Region)` combinations * API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility. * `Rules/<Lang>.hs` exposes - `langRules`: cross-locale rules for `<Lang>`, from `<Dimension>/<Lang>/Rules.hs` - `localeRules`: locale-specific rules, from `<Dimension>/<Lang>/<Region>/Rules.hs` - `defaultRules`: `langRules` + specific rules from select locales to ensure backward-compatibility * Corpus, tests & classifiers - 1 classifier per locale, with default classifier (`<Lang>_XX`) when no locale provided (backward-compatible) - Default classifiers are built on existing corpus - Locale classifiers are built on - `<Dimension>/<Lang>/Corpus.hs` exposes a common `corpus` to all locales of `<Lang>` - `<Dimension>/<Lang>/<Region>/Corpus.hs` exposes `allExamples`: a list of examples specific to the locale (following `<Dimension>/<Lang>/<Region>/Rules.hs`). - Locale classifiers use the language corpus extended with the locale examples as training set. - Locale examples need to use the same `Context` (i.e. reference time) as the language corpus. - For backward compatibility, `<Dimension>/<Lang>/Corpus.hs` can expose also `defaultCorpus`, which is `corpus` augmented with specific examples. This is controlled by `getDefaultCorpusForLang` in `Duckling.Ranking.Generate`. - Tests run against each classifier to make sure runtime works as expected. * MM/DD (en_US) vs DD/MM (en_GB) example to illustrate Reviewed By: JonCoens, blandinw Differential Revision: D6038096 fbshipit-source-id: f29c28d
2017-10-13 18:15:32 +03:00
import Duckling.Locale
import Duckling.Numeral.Types
import Duckling.Resolve
import Duckling.Testing.Types
corpus :: Corpus
corpus = (testContext {locale = makeLocale TR Nothing}, testOptions, allExamples)
allExamples :: [Example]
allExamples = concat
[ examples (NumeralValue 0)
[ "0"
, "yok"
, "hiç"
, "sıfır"
]
, examples (NumeralValue 1)
[ "1"
, "bir"
, "tek"
, "yek"
]
, examples (NumeralValue 2)
[ "2"
, "iki"
, "çift"
]
, examples (NumeralValue 33)
[ "33"
, "otuzüç"
, "otuz üç"
, "0033"
]
, examples (NumeralValue 14)
[ "14"
, "ondört"
, "on dört"
]
, examples (NumeralValue 16)
[ "16"
, "onaltı"
, "on altı"
]
, examples (NumeralValue 17)
[ "17"
, "onyedi"
, "on yedi"
]
, examples (NumeralValue 18)
[ "18"
, "onsekiz"
, "on sekiz"
]
, examples (NumeralValue 1.1)
[ "1,1"
, "1,10"
, "01,10"
, "bir virgül bir"
, "bir nokta bir"
]
, examples (NumeralValue 0.77)
[ "0,77"
, ",77"
, "sıfır virgül yetmişyedi"
, "sıfır virgül yetmiş yedi"
]
, examples (NumeralValue 100000)
[ "100.000"
, "100000"
, "100K"
, "100k"
, "100b"
]
, examples (NumeralValue 3000000)
[ "3M"
, "3000K"
, "3000000"
, "3.000.000"
]
, examples (NumeralValue 1200000)
[ "1.200.000"
, "1200000"
, "1,2M"
, "1200K"
, ",0012G"
, "1200B"
]
, examples (NumeralValue (-1200000))
[ "- 1.200.000"
, "-1200000"
, "eksi 1.200.000"
, "negatif 1200000"
, "-1,2M"
, "-1200K"
, "-,0012G"
, "-1200B"
]
, examples (NumeralValue 5000)
[ "5 bin"
, "beş bin"
]
, examples (NumeralValue 50)
[ "5 deste"
, "beş deste"
]
, examples (NumeralValue 200000)
[ "iki yüz bin"
, "ikiyüzbin"
]
, examples (NumeralValue 21011)
[ "yirmi bir bin on bir"
, "yirmibir bin onbir"
]
, examples (NumeralValue 721012)
[ "yedi yüz yirmibir bin on iki"
, "yedi yüz yirmi bir bin on iki"
, "yediyüz yirmibir bin oniki"
]
, examples (NumeralValue 300341)
[ "üçyüzbin üçyüz kırkbir"
, "üç yüz bin üç yüz kırk bir"
]
, examples (NumeralValue 40348)
[ "kırkbin üçyüz kırksekiz"
, "kırk bin üç yüz kırk sekiz"
]
, examples (NumeralValue 31256721)
[ "otuz bir milyon iki yüz elli altı bin yedi yüz yirmi bir"
]
, examples (NumeralValue 107)
[ "107"
, "yüz yedi"
]
, examples (NumeralValue 5.5)
[ "beş buçuk"
, "beşbuçuk"
, "5 buçuk"
, "5,5"
]
, examples (NumeralValue 3500000)
[ "3,5 milyon"
, "3500000"
, "üç buçuk milyon"
, "üçbuçuk milyon"
, "3,5M"
]
, examples (NumeralValue 0.5)
[ "yarım"
, "0,5"
]
, examples (NumeralValue 2500)
[ "2,5 bin"
, "2500"
, "iki bin beş yüz"
, "ikibin beşyüz"
]
, examples (NumeralValue 2200000)
[ "2,2 milyon"
, "iki nokta iki milyon"
, "iki virgül iki milyon"
]
, examples (NumeralValue 72.5)
[ "yetmişikibuçuk"
, "yetmişiki buçuk"
, "yetmiş iki buçuk"
, "72,5"
]
]