mirror of https://github.com/facebook/duckling.git synced 2024-10-26 21:59:44 +03:00

Julien Odent ab0ad0256e 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* API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility.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 08:34:21 -07:00

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Duckling

Duckling is a Haskell library that parses text into structured data.

"the first Tuesday of October"
=> {"value":"2017-10-03T00:00:00.000-07:00","grain":"day"}

Requirements

A Haskell environment is required. We recommend using stack.

On macOS you'll need to install PCRE development headers. The easiest way to do that is with Homebrew:

brew install pcre

If that doesn't help, try running brew doctor and fix the issues it finds.

Quickstart

To compile and run the binary:

$ stack build
$ stack exec duckling-example-exe

The first time you run it, it will download all required packages.

This runs a basic HTTP server. Example request:

$ curl -XPOST http://0.0.0.0:8000/parse --data 'locale=en_GB&text=tomorrow at eight'

See exe/ExampleMain.hs for an example on how to integrate Duckling in your project.

Supported dimensions

Duckling supports many languages, but most don't support all dimensions yet (we need your help!).

Dimension	Example input	Example value output
`AmountOfMoney`	"42€"	`{"value":42,"type":"value","unit":"EUR"}`
`Distance`	"6 miles"	`{"value":6,"type":"value","unit":"mile"}`
`Duration`	"3 mins"	`{"value":3,"minute":3,"unit":"minute","normalized":{"value":180,"unit":"second"}}`
`Email`	"duckling-team@fb.com"	`{"value":"duckling-team@fb.com"}`
`Numeral`	"eighty eight"	`{"value":88,"type":"value"}`
`Ordinal`	"33rd"	`{"value":33,"type":"value"}`
`PhoneNumber`	"+1 (650) 123-4567"	`{"value":"(+1) 6501234567"}`
`Quantity`	"3 cups of sugar"	`{"value":3,"type":"value","product":"sugar","unit":"cup"}`
`Temperature`	"80F"	`{"value":80,"type":"value","unit":"fahrenheit"}`
`Time`	"today at 9am"	`{"values":[{"value":"2016-12-14T09:00:00.000-08:00","grain":"hour","type":"value"}],"value":"2016-12-14T09:00:00.000-08:00","grain":"hour","type":"value"}`
`Url`	"https://api.wit.ai/message?q=hi"	`{"value":"https://api.wit.ai/message?q=hi","domain":"api.wit.ai"}`
`Volume`	"4 gallons"	`{"value":4,"type":"value","unit":"gallon"}`

Extending Duckling

To regenerate the classifiers and run the test suite:

$ stack build :duckling-regen-exe && stack exec duckling-regen-exe && stack test

It's important to regenerate the classifiers after updating the code and before running the test suite.

To extend Duckling's support for a dimension in a given language, typically 2 files need to be updated:

Duckling/<dimension>/<language>/Rules.hs
Duckling/<dimension>/<language>/Corpus.hs

To add a new language:

Make sure that the language code used follows the ISO-639-1 standard.
The first dimension to implement is Numeral.
Follow this example.

Rules have a name, a pattern and a production. Patterns are used to perform character-level matching (regexes on input) and concept-level matching (predicates on tokens). Productions are arbitrary functions that take a list of tokens and return a new token.

The corpus (resp. negative corpus) is a list of examples that should (resp. shouldn't) parse. The reference time for the corpus is Tuesday Feb 12, 2013 at 4:30am.

Duckling.Debug provides a few debugging tools:

$ stack repl --no-load
> :l Duckling.Debug
> debug (makeLocale EN US) "in two minutes" [This Time]
in|within|after <duration> (in two minutes)
-- regex (in)
-- <integer> <unit-of-duration> (two minutes)
-- -- integer (0..19) (two)
-- -- -- regex (two)
-- -- minute (grain) (minutes)
-- -- -- regex (minutes)
[Entity {dim = "time", body = "in two minutes", value = "{\"values\":[{\"value\":\"2013-02-12T04:32:00.000-02:00\",\"grain\":\"second\",\"type\":\"value\"}],\"value\":\"2013-02-12T04:32:00.000-02:00\",\"grain\":\"second\",\"type\":\"value\"}", start = 0, end = 14}]

License

Duckling is BSD-licensed. We also provide an additional patent grant.

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