Displaying 1 to 8 from 8 results

OpenCC - A project for conversion between Traditional and Simplified Chinese

  •    C++

Open Chinese Convert (OpenCC, 開放中文轉換) is an opensource project for conversion between Traditional Chinese and Simplified Chinese, supporting character-level conversion, phrase-level conversion, variant conversion and regional idioms among Mainland China, Taiwan and Hong kong.

sub-character-cws - Sub-Character Representation Learning

  •    Python

Codes and corpora for paper "Dual Long Short-Term Memory Networks for Sub-Character Representation Learning" (accepted at ITNG 2018). We proposed to learn character and sub-character level representations jointly for capturing deeper level of semantic meanings. When applied to Chinese Word Segmentation as a case example, our solution achieved state-of-the-art results on both Simplified and Traditional Chinese, without extra Traditional to Simplified Chinese conversion.

gojianfan - Traditional and Simplified Chinese Conversion in Go

  •    Go

Convert Traditional Chinese to/from Simplified Chinese in Go. This implementation is based on python-jianfan, and is very primitive. If you need advanced converter, visit OpenCC project. Released in public domain. See UNLICENSE.

gocc - Golang version OpenCC 繁簡轉換

  •    Go

gocc is a golang port of OpenCC(Open Chinese Convert 開放中文轉換) which is a project for conversion between Traditional and Simplified Chinese developed by BYVoid. gocc stands for "Golang version OpenCC", it is a total rewrite version of OpenCC in Go. It just borrows the dict files and config files of OpenCC, so it may not produce the same output with the original OpenCC.

mal-zh - The Make-A-Lisp Process 中文翻译,如何写一个Lisp解释器


This project is a Simplified Chinese translation of kanaka/mal project's guide. Take a look at the origin repository to get the full version of source code.

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