Open Chinese Convert (OpenCC, 開放中文轉換) is an opensource project for conversions between Traditional Chinese, Simplified Chinese and Japanese Kanji (Shinjitai). It supports character-level and phrase-level conversion, character variant conversion and regional idioms among Mainland China, Taiwan and Hong Kong. This is not translation tool between Mandarin and Cantonese, etc.
中文簡繁轉換開源項目,支持詞彙級別的轉換、異體字轉換和地區習慣用詞轉換(中國大陸、臺灣、香港、日本新字體)。不提供普通話與粵語的轉換。
Discussion (Telegram): https://t.me/open_chinese_convert
- 嚴格區分「一簡對多繁」和「一簡對多異」。
- 完全兼容異體字,可以實現動態替換。
- 嚴格審校一簡對多繁詞條,原則爲「能分則不合」。
- 支持中國大陸、臺灣、香港異體字和地區習慣用詞轉換,如「裏」「裡」、「鼠標」「滑鼠」。
- 詞庫和函數庫完全分離,可以自由修改、導入、擴展。
- Windows (x86_64): Latest build
- Windows (x86): Latest build
Warning: This is NOT an API. You will be banned if you make calls programmatically.
npm npm install opencc
const OpenCC = require('opencc');
const converter = new OpenCC('s2t.json');
converter.convertPromise("汉字").then(converted => {
console.log(converted); // 漢字
});
import { OpenCC } from 'opencc';
async function main() {
const converter: OpenCC = new OpenCC('s2t.json');
const result: string = await converter.convertPromise('汉字');
console.log(result);
}
See demo.js and ts-demo.ts.
pip install opencc
(Windows, Linux, Mac)
import opencc
converter = opencc.OpenCC('s2t.json')
converter.convert('汉字') # 漢字
#include "opencc.h"
int main() {
const opencc::SimpleConverter converter("s2t.json");
converter.Convert("汉字"); // 漢字
return 0;
}
#include "opencc.h"
int main() {
opencc_t opencc = opencc_open("s2t.json");
const char* input = "汉字";
char* converted = opencc_convert_utf8(opencc, input, strlen(input)); // 漢字
opencc_convert_utf8_free(converted);
opencc_close(opencc);
return 0;
}
Document 文檔: https://byvoid.github.io/OpenCC/
opencc --help
opencc_dict --help
opencc_phrase_extract --help
- Swift (iOS): SwiftyOpenCC
- iOSOpenCC (pod): iOSOpenCC
- Java: opencc4j
- Android: android-opencc
- PHP: opencc4php
- Pure JavaScript: opencc-js
- WebAssembly: wasm-opencc
- Browser Extension: opencc-extension
- Go (Pure): OpenCC for Go
- Dart (native-assets): opencc-dart
s2t.json
Simplified Chinese to Traditional Chinese 簡體到繁體t2s.json
Traditional Chinese to Simplified Chinese 繁體到簡體s2tw.json
Simplified Chinese to Traditional Chinese (Taiwan Standard) 簡體到臺灣正體tw2s.json
Traditional Chinese (Taiwan Standard) to Simplified Chinese 臺灣正體到簡體s2hk.json
Simplified Chinese to Traditional Chinese (Hong Kong variant) 簡體到香港繁體hk2s.json
Traditional Chinese (Hong Kong variant) to Simplified Chinese 香港繁體到簡體s2twp.json
Simplified Chinese to Traditional Chinese (Taiwan Standard) with Taiwanese idiom 簡體到繁體(臺灣正體標準)並轉換爲臺灣常用詞彙tw2sp.json
Traditional Chinese (Taiwan Standard) to Simplified Chinese with Mainland Chinese idiom 繁體(臺灣正體標準)到簡體並轉換爲中國大陸常用詞彙t2tw.json
Traditional Chinese (OpenCC Standard) to Taiwan Standard 繁體(OpenCC 標準)到臺灣正體hk2t.json
Traditional Chinese (Hong Kong variant) to Traditional Chinese 香港繁體到繁體(OpenCC 標準)t2hk.json
Traditional Chinese (OpenCC Standard) to Hong Kong variant 繁體(OpenCC 標準)到香港繁體t2jp.json
Traditional Chinese Characters (Kyūjitai) to New Japanese Kanji (Shinjitai) 繁體(OpenCC 標準,舊字體)到日文新字體jp2t.json
New Japanese Kanji (Shinjitai) to Traditional Chinese Characters (Kyūjitai) 日文新字體到繁體(OpenCC 標準,舊字體)tw2t.json
Traditional Chinese (Taiwan standard) to Traditional Chinese 臺灣正體到繁體(OpenCC 標準)
g++ 4.6+ or clang 3.2+ is required.
make
build.cmd
bazel build //:opencc
bazel test --test_output=all //src/... //data/... //test/...
make test
test.cmd
make benchmark
Example results (from Github CI):
1: ------------------------------------------------------------------
1: Benchmark Time CPU Iterations
1: ------------------------------------------------------------------
1: BM_Initialization/hk2s 1.56 ms 1.56 ms 442
1: BM_Initialization/hk2t 0.144 ms 0.144 ms 4878
1: BM_Initialization/jp2t 0.260 ms 0.260 ms 2604
1: BM_Initialization/s2hk 23.8 ms 23.8 ms 29
1: BM_Initialization/s2t 25.6 ms 25.6 ms 28
1: BM_Initialization/s2tw 24.0 ms 23.9 ms 30
1: BM_Initialization/s2twp 24.6 ms 24.6 ms 28
1: BM_Initialization/t2hk 0.052 ms 0.052 ms 12897
1: BM_Initialization/t2jp 0.141 ms 0.141 ms 5012
1: BM_Initialization/t2s 1.30 ms 1.30 ms 540
1: BM_Initialization/tw2s 1.39 ms 1.39 ms 529
1: BM_Initialization/tw2sp 1.69 ms 1.69 ms 426
1: BM_Initialization/tw2t 0.089 ms 0.089 ms 7707
1: BM_Convert2M 582 ms 582 ms 1
1: BM_Convert/100 1.07 ms 1.07 ms 636
1: BM_Convert/1000 11.0 ms 11.0 ms 67
1: BM_Convert/10000 113 ms 113 ms 6
1: BM_Convert/100000 1176 ms 1176 ms 1
Please update if your project is using OpenCC.
Apache License 2.0
- darts-clone BSD License
- marisa-trie BSD License
- tclap MIT License
- rapidjson MIT License
- Google Test BSD License
All these libraries are statically linked by default.
- Introduction 詳細介紹 https://github.com/BYVoid/OpenCC/wiki/%E7%B7%A3%E7%94%B1
- 現代漢語常用簡繁一對多字義辨析表 http://ytenx.org/byohlyuk/KienxPyan
- BYVoid
- 佛振
- Peng Huang
- LI Daobing
- Kefu Chai
- Kan-Ru Chen
- Ma Xiaojun
- Jiang Jiang
- Ruey-Cheng Chen
- Paul Meng
- Lawrence Lau
- 瑾昀
- 內木一郎
- Marguerite Su
- Brian White
- Qijiang Fan
- LEOYoon-Tsaw
- Steven Yao
- Pellaeon Lin
- stony
- steelywing
- 吕旭东
- Weng Xuetian
- Ma Tao
- Heinz Wiesinger
- J.W
- Amo Wu
- Mark Tsai
- Zhe Wang
- sgqy
- Qichuan (Sean) ZHANG
- Flandre Scarlet
- 宋辰文
- iwater
- Xpol Wan
- Weihang Lo
- Cychih
- kyleskimo
- Ryuan Choi
- Prcuvu
- Tony Able
- Xiao Liang
Please feel free to update this list if you have contributed OpenCC.