(This library use OpenCC for its dictionary database and test data)
OpenCC is a translation library for Traditional and Simplified Chinese with dictionary of localized phrases and verbs. But it only runs on Python (or Node.js with Python installed).
node-opencc
is a brand new project that imports OpenCC database and test case, and translates text without installing any native components.
You can only access node-opencc
programmatically. Since dictionaries are huge, they are loaded asynchronously with Promise interface. Thus, all translations on node-opencc
will return thenable
.
For example,
const opencc = require('node-opencc');
opencc.hongKongToSimplified('滑鼠').then(result => result === '鼠标');
opencc.traditionalToHongKong('僞').then(result => result === '偽');
node-opencc
supports multiple type of translations:
- Hong Kong to Simplified Chinese (
hongKongToSimplified
) - Simplified Chinese to Hong Kong (
simplifiedToHongKong
) - Simplified Chinese to Traditional Chinese (
simplifiedToTraditional
) - Simplified Chinese to Taiwan (
simplifiedToTaiwan
) - Simplified Chinese to Taiwan with phrases (
simplifiedToTaiwanWithPhrases
) - Traditional Chinese to Hong Kong (
traditionalToHongKong
) - Traditional Chinese to Simplified Chinese (
traditionalToSimplified
) - Traditional Chinese to Taiwan (
traditionalToTaiwan
) - Taiwan to Simplified Chinese (
taiwanToSimplified
) - Taiwan to Simplified Chinese with phrases (
taiwanToSimplifiedWithPhrases
)
Although node-opencc
tries to redo OpenCC
with pure JavaScript, there are features that are not working as in OpenCC
. node-opencc
currently do not support the following features:
- Multiple alternative phrases, verbs, and characters
- Use
withPhrases
options
- 2016-02-25 (0.0.2): First public release
You may want to head to OpenCC for dictionary contribution.
Love this extension? Star us!
Want to make this extension even more awesome? Send us your wish.
Hate how it is working? File an issue to us.
To contribute to the code base of node-opencc
, please file a pull request with unit tests.