Summary:
Support custom dimensions
Had to move the definition of `Dimension` from `Duckling.Dimensions.Types` to `Duckling.Types` to avoid cyclic imports between these two modules.
A sample custom dimension is in `exe/CustomDimensionExample.hs`.
Limitations of custom dimensions:
- All rules for a custom dimension must be in the same module with the definition of the custom dimension. Otherwise there will be cyclic imports, because the definition of the dimension and the rules refer to each other.
- The custom dimension must be specified when using `parse`, since there's no way to get all the existing custom dimensions.
Reviewed By: patapizza
Differential Revision: D7630360
fbshipit-source-id: 30e12dcb33611f5692c4f5949de377bf61b75e1e
Summary:
Hi, in this pr:
* Added time dimension to Arabic language, thanks to Hussein-Dahir & Yazeed-Obaid for writing time corpus.
* Fixed some bugs in numeral & ordinals and added more test cases for them.
Also, I don't really understand why do we use classifiers in time dimension?
Closes https://github.com/facebook/duckling/pull/123
Reviewed By: blandinw
Differential Revision: D6583313
Pulled By: patapizza
fbshipit-source-id: f7acdef0c032d7b7fd7d224832fdaf484d2df825
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* API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility.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
Summary:
No need to reinvent the wheel when `dependent-sum` has what we need. I re-export `Some(..)` from `Duckling.Dimensions.Types` to cut down on import bloat.
Instead of a `Read` instance I created a `fromName` function.
Reviewed By: zilberstein
Differential Revision: D4710014
fbshipit-source-id: 1d4e86d
Summary: `DNumber` is a terrible name and was only there because legacy. `Numeral` makes more sense for this dimension, so let's use that instead.
Reviewed By: patapizza
Differential Revision: D4707167
fbshipit-source-id: cd78aa3
