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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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2019-05-22 20:36:43 +03:00
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-- LICENSE file in the root directory of this source tree.
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2017-03-08 21:33:55 +03:00
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{-# LANGUAGE OverloadedStrings #-}
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module Duckling.Numeral.JA.Corpus
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( corpus ) where
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import Prelude
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import Data.String
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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* API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility.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
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import Duckling.Locale
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import Duckling.Numeral.Types
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import Duckling.Resolve
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import Duckling.Testing.Types
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corpus :: Corpus
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corpus = (testContext {locale = makeLocale JA Nothing}, testOptions, allExamples)
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allExamples :: [Example]
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allExamples = concat
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[ examples (NumeralValue 0)
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[ "0"
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, "零"
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, "ゼロ"
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]
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, examples (NumeralValue 1)
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[ "1"
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, "一"
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]
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, examples (NumeralValue 33)
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[ "33"
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, "三十三"
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, "0033"
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]
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, examples (NumeralValue 14)
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[ "14"
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, "十四"
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]
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, examples (NumeralValue 16)
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[ "16"
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, "十六"
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]
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, examples (NumeralValue 17)
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[ "17"
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, "十七"
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]
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, examples (NumeralValue 18)
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[ "18"
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, "十八"
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]
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, examples (NumeralValue 100)
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[ "100"
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, "百"
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]
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, examples (NumeralValue 101)
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[ "101"
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, "百一"
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]
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, examples (NumeralValue 200)
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[ "200"
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]
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, examples (NumeralValue 1.1)
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[ "1.1"
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, "1.10"
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, "01.10"
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]
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, examples (NumeralValue 0.77)
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[ "0.77"
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, ".77"
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]
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, examples (NumeralValue 100000)
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[ "100,000"
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, "100000"
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, "100K"
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, "100k"
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]
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, examples (NumeralValue 3000000)
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[ "3M"
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, "3000K"
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, "3000000"
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, "3,000,000"
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]
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, examples (NumeralValue 1200000)
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[ "1,200,000"
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, "1200000"
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, "1.2M"
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, "1200K"
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, ".0012G"
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]
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, examples (NumeralValue (-1200000))
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[ "- 1,200,000"
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, "-1200000"
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, "-1.2M"
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, "-1200K"
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, "-.0012G"
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]
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, examples (NumeralValue 5000)
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[ "5千"
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]
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, examples (NumeralValue 20000)
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[ "2万"
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]
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]
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