2017-03-08 21:33:55 +03:00
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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. An additional grant
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-- of patent rights can be found in the PATENTS file in the same directory.
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{-# LANGUAGE OverloadedStrings #-}
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module Duckling.Numeral.MY.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* API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility.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 MY 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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[ "၀"
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, "သုံည"
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, "မရှိ"
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]
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, examples (NumeralValue 1)
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[ "၁"
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, "တစ်"
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, "ပထမ"
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]
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, examples (NumeralValue 2)
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[ "၂"
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, "နှစ်"
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, "ဒုတိယ"
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]
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, examples (NumeralValue 3)
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[ "၃"
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, "သုံး"
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, "တတိယ"
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, "3"
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]
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, examples (NumeralValue 30)
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[ "သုံးဆယ်"
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]
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, examples (NumeralValue 33)
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[ "သုံးဆယ့်သုံး"
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]
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, examples (NumeralValue 14)
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[ "ဆယ့်လေး"
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]
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, examples (NumeralValue 17)
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[ "ဆယ့်ခုနှစ်"
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]
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, examples (NumeralValue 200)
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[ "နှစ်ရာ"
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]
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, examples (NumeralValue 900)
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[ "ကိုးရာ"
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]
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, examples (NumeralValue 5000)
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[ "ငါးထောင်"
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]
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, examples (NumeralValue 80000)
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[ "ရှစ်သောင်း"
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]
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]
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