duckling/Duckling/Numeral/MY/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.MY.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smart constructor to only allow valid `(Lang, Region)` combinations * API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility.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 MY Nothing}, testOptions, allExamples)
allExamples :: [Example]
allExamples = concat
[ examples (NumeralValue 0)
[ ""
, "သုံည"
, "မရှိ"
]
, examples (NumeralValue 1)
[ ""
, "တစ်"
, "ပထမ"
]
, examples (NumeralValue 2)
[ ""
, "နှစ်"
, "ဒုတိယ"
]
, examples (NumeralValue 3)
[ ""
, "သုံး"
, "တတိယ"
, "3"
]
, examples (NumeralValue 30)
[ "သုံးဆယ်"
]
, examples (NumeralValue 33)
[ "သုံးဆယ့်သုံး"
]
, examples (NumeralValue 14)
[ "ဆယ့်လေး"
]
, examples (NumeralValue 17)
[ "ဆယ့်ခုနှစ်"
]
, examples (NumeralValue 200)
[ "နှစ်ရာ"
]
, examples (NumeralValue 900)
[ "ကိုးရာ"
]
, examples (NumeralValue 5000)
[ "ငါးထောင်"
]
, examples (NumeralValue 80000)
[ "ရှစ်သောင်း"
]
]