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Conversion between Traditional and Simplified Chinese

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Quick Overview

OpenCC (Open Chinese Convert) is an open-source project for converting between Traditional and Simplified Chinese. It provides a standardized way to handle Chinese text conversion with high accuracy and customizable conversion rules. OpenCC supports various Chinese variants and can be used as both a command-line tool and a programming library.

Pros

  • High accuracy in Chinese text conversion
  • Customizable conversion rules and dictionaries
  • Supports multiple Chinese variants (Mainland China, Taiwan, Hong Kong, etc.)
  • Available as both a command-line tool and a programming library

Cons

  • Limited to Chinese language conversion only
  • May require some technical knowledge to customize conversion rules
  • Performance might be slower compared to simpler conversion methods
  • Documentation could be more comprehensive for non-Chinese speakers

Code Examples

  1. Basic conversion from Simplified to Traditional Chinese:
import opencc

converter = opencc.OpenCC('s2t.json')
simplified = '汉字'
traditional = converter.convert(simplified)
print(traditional)  # Output: 漢字
  1. Converting a file from Traditional to Simplified Chinese:
import opencc

converter = opencc.OpenCC('t2s.json')
with open('input.txt', 'r', encoding='utf-8') as input_file:
    content = input_file.read()
    converted = converter.convert(content)
    with open('output.txt', 'w', encoding='utf-8') as output_file:
        output_file.write(converted)
  1. Custom conversion using a user-defined configuration:
import opencc

custom_config = {
    'from': 'hk',
    'to': 'tw',
    'dict': {
        'char': {'香港': '臺灣'},
        'phrase': {'香港人': '臺灣人'}
    }
}

converter = opencc.OpenCC(custom_config)
text = '我是香港人'
converted = converter.convert(text)
print(converted)  # Output: 我是臺灣人

Getting Started

To use OpenCC in your Python project, follow these steps:

  1. Install OpenCC using pip:

    pip install opencc-python-reimplemented

  2. Import the library and create a converter:

    import opencc

converter = opencc.OpenCC('s2t.json')  # Simplified to Traditional

  3. Convert text:

    simplified = '开放中文转换'
traditional = converter.convert(simplified)
print(traditional)  # Output: 開放中文轉換

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README

Open Chinese Convert 開放中文轉換

CMake Bazel MSVC Node.js CI Python CI AppVeyor

Introduction 介紹

OpenCC

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

Features 特點

  • 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。

Installation 安裝

Package Managers 包管理器

Prebuilt 預編譯

Usage 使用

Online demo 線上轉換展示

Warning: This is NOT an API. You will be banned if you make calls programmatically.

https://opencc.byvoid.com/

Node.js

npm npm install opencc

JavaScript

const OpenCC = require('opencc');
const converter = new OpenCC('s2t.json');
converter.convertPromise("汉字").then(converted => {
  console.log(converted);  // 漢字
});

TypeScript

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.

Python

pip install opencc (Windows, Linux, Mac)

import opencc
converter = opencc.OpenCC('s2t.json')
converter.convert('汉字')  # 漢字

C++

#include "opencc.h"

int main() {
  const opencc::SimpleConverter converter("s2t.json");
  converter.Convert("汉字");  // 漢字
  return 0;
}

Full example with Bazel

C

#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/

Command Line

  • opencc --help
  • opencc_dict --help
  • opencc_phrase_extract --help

Others (Unofficial)

Configurations 配置文件

預設配置文件

  • 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 (KyÅ«jitai) 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 (KyÅ«jitai) 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）

Build 編譯

Build with CMake

Linux & Mac OS X

g++ 4.6+ or clang 3.2+ is required.

make

Windows Visual Studio:

build.cmd

Build with Bazel

bazel build //:opencc
bazel test --test_output=all //src/... //data/... //test/...

Test 測試

Linux & Mac OS X

make test

Windows Visual Studio:

test.cmd

Benchmark 基準測試

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

Projects using OpenCC 使用 OpenCC 的項目

Please update if your project is using OpenCC.

License 許可協議

Apache License 2.0

Third Party Library 第三方庫

All these libraries are statically linked by default.

Change History 版本歷史

Links 相關鏈接

Contributors 貢獻者

Please feel free to update this list if you have contributed OpenCC.

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