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Kuo","email":"byvoid@byvoid.com"},"license":"Apache-2.0","homepage":"https://github.com/BYVoid/OpenCC#readme","keywords":["opencc","Chinese","conversion","unicode","Simplified Chinese","Traditional Chinese"],"repository":{"type":"git","url":"git+https://github.com/BYVoid/OpenCC.git"},"description":"Conversion between Traditional and Simplified Chinese","contributors":[{"name":"Author:"},{"name":"Carbo Kuo","email":"byvoid@byvoid.com"},{"name":"Contributors:"},{"name":"Peng Huang","email":"shawn.p.huang@gmail.com"},{"name":"Kefu Chai","email":"tchaikov@gmail.com"},{"name":"LI Daobing","email":"lidaobing@gmail.com"},{"name":"Asias","email":"asias.hejun@gmail.com"},{"name":"Peng Wu","email":"alexepico@gmail.com"},{"name":"Xiaojun Ma","email":"damage3025@gmail.com"},{"name":"佛振","email":"chen.sst@gmail.com"},{"name":"Frank Lin","email":"github@linshuang.info"}],"maintainers":[{"name":"byvoid","email":"npmjs@byvoid.com"},{"name":"ayaka14732","email":"ayaka@mail.shn.hk"},{"name":"frankslin","email":"npm@linshuang.info"}],"readme":"# Open Chinese Convert 開放中文轉換\n\n[![CMake](https://github.com/BYVoid/OpenCC/actions/workflows/cmake.yml/badge.svg)](https://github.com/BYVoid/OpenCC/actions/workflows/cmake.yml)\n[![Bazel](https://github.com/BYVoid/OpenCC/actions/workflows/bazel.yml/badge.svg)](https://github.com/BYVoid/OpenCC/actions/workflows/bazel.yml)\n[![MSVC](https://github.com/BYVoid/OpenCC/actions/workflows/msvc.yml/badge.svg)](https://github.com/BYVoid/OpenCC/actions/workflows/msvc.yml)\n[![Node.js CI](https://github.com/BYVoid/OpenCC/actions/workflows/nodejs.yml/badge.svg)](https://github.com/BYVoid/OpenCC/actions/workflows/nodejs.yml)\n[![Python CI](https://github.com/BYVoid/OpenCC/actions/workflows/python.yml/badge.svg)](https://github.com/BYVoid/OpenCC/actions/workflows/python.yml)\n[![AppVeyor](https://img.shields.io/appveyor/ci/Carbo/OpenCC.svg)](https://ci.appveyor.com/project/Carbo/OpenCC)\n\n[![GitHub downloads](https://img.shields.io/github/downloads/BYVoid/OpenCC/total)](https://github.com/BYVoid/OpenCC/releases)\n[![WinGet](https://img.shields.io/winget/v/BYVoid.OpenCC)](https://winstall.app/apps/BYVoid.OpenCC)\n[![npm package badge](https://img.shields.io/npm/v/opencc)](https://www.npmjs.com/package/opencc)\n[![PyPI version](https://img.shields.io/pypi/v/opencc.svg)](https://pypi.org/project/opencc/)\n[![Debian package](https://img.shields.io/debian/v/opencc/unstable)](https://packages.debian.org/search?keywords=opencc)\n[![latest packaged version(s)](https://repology.org/badge/latest-versions/opencc.svg)](https://repology.org/project/opencc/versions)\n\n## Introduction 介紹\n\n![OpenCC](https://opencc.byvoid.com/img/opencc.png)\n\nOpen Chinese Convert (OpenCC, 開放中文轉換) is an open source project for high-quality conversion between Traditional Chinese, Simplified Chinese, Japanese Shinjitai, and regional wording across Mainland China, Taiwan, and Hong Kong. It provides dictionaries, a reusable library, conversion tools, and dictionary generation tools.\n\nOpen Chinese Convert（OpenCC，開放中文轉換） 是一個開源中文轉換項目，支持繁體中文、簡體中文、日文新字體，以及中國大陸、臺灣、香港等地區習慣用詞之間的高品質轉換，並提供詞典、可重用庫、轉換工具及詞典生成工具。\n\nDiscussion (Telegram) 討論區（Telegram）: https://t.me/open_chinese_convert\n\n### Features 特點\n\n* 基於詞庫的確定性轉換，不使用大語言模型，結果穩定可預期，可離線快速運行。\n  Deterministic, dictionary-based conversion without large language models (LLMs): results are stable and predictable, and conversion runs fast and fully offline.\n* 詞庫和函數庫可分離，允許自定義修改和擴展。\n  Dictionaries are decoupled from the library, allowing custom modification and extension.\n* 嚴格區分簡繁對應與異體字對應關係，嚴格審校一簡對多繁詞條，OpenCC標準的用字原則爲「能分則不合」。\n  Strictly distinguishes Simplified-Traditional mappings from character variant mappings, with rigorously reviewed one-to-many Simplified-to-Traditional entries; the OpenCC standard follows the character usage principle of \"separate whenever distinguishable\".\n* 支持中國大陸、臺灣、香港地區慣用異體字（如「裏」「裡」），以及習慣用詞轉換（如「鼠標」「滑鼠」）。\n  Supports conversion of preferred character variants (such as 「裏」/「裡」) and regional wording (such as 「鼠標」/「滑鼠」) for Mainland China, Taiwan, and Hong Kong.\n* 詞庫內容均以官話（普通話、國語）詞彙爲基準，不支持語言之間的翻譯，例如官話與粵語、閩南語或日語之間的翻譯。\n  Dictionaries are based on Mandarin (Putonghua / Guoyu) vocabulary; translation between languages, such as between Mandarin and Cantonese, Southern Min, or Japanese, is not supported.\n* 另外，有限支持日文新字體與舊字體之間的轉換。\n  In addition, conversion between Japanese Shinjitai (new character forms) and Kyujitai (old character forms) is supported to a limited extent.\n\n詳情參閱 [OpenCC 設計思想](./DESIGN_PRINCIPLES.md)及[地區詞收錄標準](doc/regional-phrase-criteria.md)。\nFor details, see [Design Principles](./DESIGN_PRINCIPLES.md) and [Regional Phrase Criteria](doc/regional-phrase-criteria.md).\n\n## Installation 安裝\n\n### Package Managers 包管理器\n\n* [Debian](https://tracker.debian.org/pkg/opencc)\n* [Ubuntu](https://launchpad.net/ubuntu/+source/opencc)\n* [Fedora](https://packages.fedoraproject.org/pkgs/opencc/opencc/)\n* [Arch Linux](https://archlinux.org/packages/extra/x86_64/opencc/)\n* [macOS (Homebrew)](https://formulae.brew.sh/formula/opencc)\n    * 使用 `brew install opencc`\n* [WinGet](https://github.com/microsoft/winget-pkgs/tree/master/manifests/b/BYVoid/OpenCC)\n    * 使用 `winget install opencc`\n* [Bazel](https://registry.bazel.build/modules/opencc)\n* [Node.js](https://npmjs.org/package/opencc)\n    * 使用 `npm install -g opencc` 命令可安裝 OpenCC Node.js CLI\n    * 使用 `npm install -g opencc opencc-jieba` 命令可同時安裝 OpenCC Node.js CLI 及 Jieba 分詞插件\n* [Python](https://pypi.org/project/OpenCC/)\n    * 使用 `pip install opencc` 命令可安裝 Python API 及 Python CLI\n* [Repology](https://repology.org/project/opencc/versions)\n\n### Prebuilt binaries 預編譯二進位檔\n\nOpenCC 1.4.2 大幅加速了轉換熱路徑（純文字語料的整體轉換時間最多降至原本的\n1/7），修復了大端序平台載入 legacy `.ocd` 字典得到空字典的問題，並包含一批詞庫\n修正；C++ ABI 與 1.4.1 相同（SOVERSION 1.4），自 1.4.0／1.4.1 升級的下游 C++\n程式無需重新連結。\n\n* Windows (x86_64): [OpenCC-1.4.2](https://github.com/BYVoid/OpenCC/releases/download/ver.1.4.2/OpenCC-1.4.2-windows-x64-portable.zip) ([SHA-256](https://github.com/BYVoid/OpenCC/releases/download/ver.1.4.2/OpenCC-1.4.2-windows-x64-portable.zip.sha256))\n    * This Windows release is available from WinGet. For details, see [doc/windows-winget-release.md](doc/windows-winget-release.md).\n    * The executables are Authenticode-signed; see [Code Signing 程式碼簽章](#code-signing-程式碼簽章).\n    * Requires Microsoft Visual C++ Redistributable for Visual Studio 2015-2026. Download the latest version from [Microsoft](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170#latest-supported-redistributable-version).\n* Debian/Ubuntu:\n    * [opencc-1.4.2-1-deb-amd64.zip](https://github.com/BYVoid/OpenCC/releases/download/ver.1.4.2/opencc-1.4.2-1-deb-amd64.zip)\n    * [opencc-1.4.2-1-deb-arm64.zip](https://github.com/BYVoid/OpenCC/releases/download/ver.1.4.2/opencc-1.4.2-1-deb-arm64.zip)\n    * Each zip bundles the `opencc`, `opencc-jieba`, and `libopencc*` deb packages for one architecture, with a `SHA256SUMS` file.\n\n## Usage 使用\n\n### Online 線上轉換\n\nhttps://opencc.js.org/converter?config=s2t\n\n### Node.js\n\n`npm install opencc`\n\nThe npm package supports Node.js `>=20.17`. The native addon is installed\nthrough prebuilt `@opencc/opencc-<platform>-<arch>` packages covering macOS\n(x64/arm64), Linux (x64/arm64), and Windows (x64). On platforms without a\nprebuilt binary package, `npm install` builds from source with Bazel —\ncompiling the addon and regenerating the dictionaries — which requires a\nC++ toolchain and network access; Bazel is found on PATH (`bazel` or\n`bazelisk`) or fetched automatically via `npx`, and Bazel downloads its own\nhermetic Python toolchain for the dictionary generation.\n\nBun and Deno can also use the npm package through their npm compatibility\nsupport.\n\nTo install the npm CLI:\n\n```sh\nnpm install -g opencc\nopencc -c s2t.json -i input.txt -o output.txt\n```\n\nThe npm CLI supports basic text conversion. Plugins, `--inspect`,\n`--segmentation`, and `--ambiguities` require the native OpenCC CLI.\n\n```ts\nimport { OpenCC } from 'opencc';\nasync function main() {\n  const converter: OpenCC = new OpenCC('s2t.json');\n  const result: string = await converter.convertPromise('汉字');\n  console.log(result);  // 漢字\n}\n```\n\nInline configurations can be passed with `OpenCC.fromConfig`:\n\n```ts\nimport { OpenCC } from 'opencc';\nconst converter = OpenCC.fromConfig({\n  name: 'Demo Inline Config',\n  conversion_chain: [{\n    dict: { type: 'inline', entries: { '鼠标': '滑鼠' } },\n  }],\n});\nconsole.log(converter.convertSync('鼠标'));  // 滑鼠\n```\n\nSee [demo.js](https://github.com/BYVoid/OpenCC/blob/master/node/demo.js) and [demo.ts](https://github.com/BYVoid/OpenCC/blob/master/node/demo.ts).\n\n### Python\n\n`pip install opencc` (Windows, Linux, macOS)\n\n```python\nimport opencc\nconverter = opencc.OpenCC('s2t.json')\nconverter.convert('汉字')  # 漢字\n```\n\nThe Python package also installs a basic CLI:\n\n```sh\npip install opencc\nopencc -c s2t.json -i input.txt -o output.txt\n```\n\nThe Python CLI supports basic text conversion, `--include-tofu-risk-dictionaries`,\nand `--resource-zip`. Diagnostic modes such as `--inspect`, `--segmentation`,\nand `--ambiguities` still require the native OpenCC CLI.\n\n### C++\n\n```c++\n#include \"opencc.h\"\n\nint main() {\n  const opencc::SimpleConverter converter(\"s2t.json\");\n  converter.Convert(\"汉字\");  // 漢字\n  return 0;\n}\n```\n\n[Full example with Bazel](https://github.com/BYVoid/opencc-bazel-example)\n\nWhen OpenCC is embedded in a server binary or self-contained application, the\nJSON config can stay small while dictionary resources are loaded from explicit\nresource directories:\n\n```c++\n#include <memory>\n#include <vector>\n\n#include \"SimpleConverter.hpp\"\n\nint main() {\n  auto resources = std::make_shared<opencc::FilesystemResourceProvider>(\n      std::vector<std::string>{\n          \"/opt/my-app/opencc\",\n          \"/opt/my-app/plugins/opencc-jieba\",\n          \"/usr/share/opencc\",\n      });\n  const opencc::SimpleConverter converter(\"s2t.json\", resources);\n  converter.Convert(\"汉字\");\n  return 0;\n}\n```\n\n`FilesystemResourceProvider` searches directories in order. Existing\n`SimpleConverter(\"s2t.json\")` and CLI behavior continue to use the config file\nlocation, current directory, explicit paths, and installed OpenCC data directory\nas before.\n\n### C\n\n```c\n#include \"opencc.h\"\n\nint main() {\n  opencc_t opencc = opencc_open(\"s2t.json\");\n  const char* input = \"汉字\";\n  char* converted = opencc_convert_utf8(opencc, input, strlen(input));  // 漢字\n  opencc_convert_utf8_free(converted);\n  opencc_close(opencc);\n  return 0;\n}\n\n```\n\n[Full Document 完整文檔](https://opencc.byvoid.com/docs/)\n\n### Command Line\n\nUnless otherwise noted, this section describes the native OpenCC CLI built from\nthe C++ toolchain. The Python and npm CLIs support basic file/stdin conversion\nonly, plus `--include-tofu-risk-dictionaries`; the Python CLI also supports\n`--resource-zip`.\n\n* `opencc --help`\n* `opencc_dict --help`\n\n#### Segmentation and Inspection Modes\n\nOpenCC CLI supports two diagnostic modes that output JSON instead of converted text:\n\n**`--segmentation`** — Output segmentation result only (no conversion):\n\n```bash\necho \"他只看了几行日志，就一叶知秋，猜到整个系统是数据库连接池出了问题\" | opencc -c s2twp.json --segmentation\n# {\"input\":\"他只看了几行日志，就一叶知秋，猜到整个系统是数据库连接池出了问题\",\"segments\":[\"他\",\"只看\",\"了几行\",\"日志\",\"，就\",\"一叶知秋\",\"，猜到\",\"整个\",\"系统\",\"是\",\"数据库\",\"连接池\",\"出了\",\"问题\"]}\n```\n\n**`--inspect`** — Output full inspection result (segmentation + per-stage conversion + final output):\n\n```bash\necho \"他只看了几行日志，就一叶知秋，猜到整个系统是数据库连接池出了问题\" | opencc -c s2twp.json --inspect\n# {\"input\":\"他只看了几行日志，就一叶知秋，猜到整个系统是数据库连接池出了问题\",\"segments\":[\"他\",\"只看\",\"了几行\",\"日志\",\"，就\",\"一叶知秋\",\"，猜到\",\"整个\",\"系统\",\"是\",\"数据库\",\"连接池\",\"出了\",\"问题\"],\"stages\":[{\"index\":1,\"segments\":[\"他\",\"只看\",\"了幾行\",\"日誌\",\"，就\",\"一葉知秋\",\"，猜到\",\"整個\",\"系統\",\"是\",\"數據庫\",\"連接池\",\"出了\",\"問題\"]},{\"index\":2,\"segments\":[\"他\",\"只看\",\"了幾行\",\"日誌\",\"，就\",\"一葉知秋\",\"，猜到\",\"整個\",\"系統\",\"是\",\"資料庫\",\"連線池\",\"出了\",\"問題\"]},{\"index\":3,\"segments\":[\"他\",\"只看\",\"了幾行\",\"日誌\",\"，就\",\"一葉知秋\",\"，猜到\",\"整個\",\"系統\",\"是\",\"資料庫\",\"連線池\",\"出了\",\"問題\"]}],\"output\":\"他只看了幾行日誌，就一葉知秋，猜到整個系統是資料庫連線池出了問題\"}\n\n# Pretty-print with jq:\necho \"他只看了几行日志，就一叶知秋，猜到整个系统是数据库连接池出了问题\" | opencc -c s2twp.json --inspect | jq .\n```\n\n**`--ambiguities`** — Convert while marking every output span whose dictionary\nmatch is one-to-many (e.g. `文丑` may be either `文丑` or `文醜`), as a stream\nof JSONL records:\n\n```bash\nprintf '大战文丑的时候，他的头发很干燥' | opencc -c s2t.json --ambiguities\n# {\"def\":\"文丑\"}\n# {\"lit\":\"大戰\"}\n# {\"amb\":{\"t\":\"文丑\",\"s\":0}}\n# {\"lit\":\"的時候，他的頭髮很乾燥\"}\n# {\"end\":{\"output_bytes\":45,\"ambiguities\":1,\"sources\":1}}\n```\n\nRecord kinds: `{\"def\"}` defines the next source index (each distinct input\nword is defined once, before its first reference); `{\"lit\"}` is a literal\nrun of unambiguous output; `{\"amb\":{\"t\",\"s\"}}` is an ambiguous span whose\noutput text `t` (the default candidate) came from the source with index `s`;\nthe final `{\"end\"}` record carries stream totals. Concatenating every `lit`\nand `amb.t` in order reproduces the plain conversion output exactly.\nStreaming is bounded-memory regardless of input size or line length, and\npositions are implicit in record order, so consumers can rebuild offsets in\ntheir own string-index units. Single-value conversions (e.g. `头发` →\n`頭髮`) are not flagged.\n\nThe record stream is a machine-readable contract: every emitted line is\nvalid JSON, and the final `{\"end\"}` record only appears when the whole\ninput was processed. Input containing invalid UTF-8 aborts the stream with\nan error (unlike plain conversion, which is byte-transparent), and a\nmissing `{\"end\"}` record means the stream is incomplete.\n\nThese modes are useful for diagnosing conversion issues:\n\n1. Use `--segmentation` to verify that the input is segmented as expected.\n2. Use `--inspect` to see which conversion stage produces an unexpected result.\n3. Use `--ambiguities` to locate one-to-many conversions and resolve each\n   deduplicated `def` source to its candidates.\n\nRules:\n- `--segmentation`, `--inspect`, and `--ambiguities` are mutually exclusive.\n\n### Official / Recommended Ports\n\nThe following ports are maintained within the OpenCC ecosystem and are generally up to date with current configuration and dictionary data.\n\n* Data package: [opencc-data](https://www.npmjs.com/package/opencc-data)\n* Pure JavaScript: [opencc-js](https://www.npmjs.com/package/opencc-js)\n    * See [notes about different OpenCC NPM packages](#links-%E7%9B%B8%E9%97%9C%E9%80%A3%E7%B5%90) below.\n* WebAssembly: [opencc-wasm](https://www.npmjs.com/package/opencc-wasm) ([website](https://opencc.js.org/))\n* Pure Python: [opencc-py](https://pypi.org/project/opencc-py/) (pre-release)\n\n### Other Ports (Unofficial)\n\nThese ports are community-maintained and may not always track upstream updates.\n\n* Swift (iOS): [SwiftyOpenCC](https://github.com/XQS6LB3A/SwiftyOpenCC)\n* iOSOpenCC (pod): [iOSOpenCC](https://github.com/swiftdo/OpenCC)\n* Java: [opencc4j](https://github.com/houbb/opencc4j)\n* Android: [android-opencc](https://github.com/qichuan/android-opencc)\n* PHP: [opencc4php](https://github.com/nauxliu/opencc4php)\n* WebAssembly: [wasm-opencc](https://github.com/oyyd/wasm-opencc)\n* Browser Extension: [opencc-extension](https://github.com/tnychn/opencc-extension)\n* Go (Pure): [OpenCC for Go](https://github.com/longbridge/opencc)\n* Dart (native-assets): [opencc-dart](https://github.com/lindeer/opencc-dart)\n\n### Configurations 配置文件\n\n#### 預設配置文件\n\n* `s2t.json` **Simplified Chinese** to **Traditional Chinese (OpenCC Standard)** / **簡體** 到 **OpenCC 標準繁體**\n* `t2s.json` **Traditional Chinese (OpenCC Standard)** to **Simplified Chinese** / **OpenCC 標準繁體** 到 **簡體**\n* `s2tw.json` **Simplified Chinese** to **Traditional Chinese (Taiwan Standard)** / **簡體** 到 **台灣正體**\n* `tw2s.json` **Traditional Chinese (Taiwan Standard)** to **Simplified Chinese** / **台灣正體** 到 **簡體**\n* `s2hk.json` **Simplified Chinese** to **Traditional Chinese (Hong Kong variant)** / **簡體** 到 **香港繁體**\n* `hk2s.json` **Traditional Chinese (Hong Kong variant)** to **Simplified Chinese** / **香港繁體** 到 **簡體**\n* `s2twp.json` **Simplified Chinese** to **Traditional Chinese (Taiwan Standard, with Taiwan Phrases)** / **簡體** 到 **台灣正體（含台灣常用詞彙）**\n* `tw2sp.json` **Traditional Chinese (Taiwan Standard)** to **Simplified Chinese (Mainland China Phrases)** / **台灣正體** 到 **簡體（含中國大陸常用詞彙）**\n* `t2tw.json` **Traditional Chinese (OpenCC Standard)** to **Traditional Chinese (Taiwan Standard)** / **OpenCC 標準繁體** 到 **台灣正體**\n* `tw2t.json` **Traditional Chinese (Taiwan Standard)** to **Traditional Chinese (OpenCC Standard)** / **台灣正體** 到 **OpenCC 標準繁體**\n* `t2hk.json` **Traditional Chinese (OpenCC Standard)** to **Traditional Chinese (Hong Kong variant)** / **OpenCC 標準繁體** 到 **香港繁體**\n* `hk2t.json` **Traditional Chinese (Hong Kong variant)** to **Traditional Chinese (OpenCC Standard)** / **香港繁體** 到 **OpenCC 標準繁體**\n\n下列配置文件仍在開發中，歡迎貢獻新詞組：\n\n* `s2hkp.json` **Simplified Chinese** to **Traditional Chinese (Hong Kong variant, with Hong Kong Phrases)** / **簡體** 到 **香港繁體（香港常用詞彙）**\n* `hk2sp.json` **Traditional Chinese (Hong Kong variant)** to **Simplified Chinese (Mainland China Phrases)** / **香港繁體** 到 **簡體（含中國大陸常用詞彙）**\n\n下列配置文件僅供探索性研究，不建議用於生產環境：\n\n* `t2jp.json` **Old Japanese Kanji (Kyūjitai)** to **New Japanese Kanji (Shinjitai)** / **日文舊字體** 到 **日文新字體**\n* `jp2t.json` **New Japanese Kanji (Shinjitai)** to **Old Japanese Kanji (Kyūjitai)** / **日文新字體** 到 **日文舊字體**，並將少量日文詞組轉換爲對應中文\n\n#### 指定配置文件\n\n通过环境变量`OPENCC_DATA_DIR`加载指定路径下的配置文件\n```sh\nOPENCC_DATA_DIR=/path/to/your/config/dir opencc --help\n```\n\n#### 內聯字典（inline dictionary）\n\n配置檔中的字典可使用 `type: \"inline\"`，直接在 JSON 裡定義小型自訂詞彙，\n不必修改外部字典檔。例如在 `group.dicts` 最前面加入覆寫規則：\n\n```json\n{\n  \"conversion_chain\": [\n    {\n      \"dict\": {\n        \"type\": \"group\",\n        \"dicts\": [\n          {\n            \"type\": \"inline\",\n            \"entries\": {\n              \"麦旋风\": \"冰炫風\",\n              \"服务器\": \"伺服器\"\n            }\n          },\n          {\n            \"type\": \"ocd2\",\n            \"file\": \"STPhrases.ocd2\"\n          },\n          {\n            \"type\": \"ocd2\",\n            \"file\": \"STCharacters.ocd2\"\n          }\n        ]\n      }\n    }\n  ]\n}\n```\n\n規則與限制：\n\n- `entries` 必須是 JSON 物件。\n- `entries` 的 key/value 必須是非空字串。\n- 重複 key 不受支援；如包含，載入會直接失敗（拋出錯誤）。\n- key/value 會按解析結果原樣使用，不做 trim、大小寫折疊或 Unicode normalization。\n- 內聯字典與普通字典行為一致，優先級由 `group.dicts` 的順序決定。\n- 內聯字典輸出仍會繼續經過後續 `conversion_chain` 步驟，不提供鎖定最終輸出。\n\n備註：OpenCC 1.3.2+ 解析器支援有限 JSONC 語法（`//`、`/* */` 註解與尾逗號）。\n若需跨實作相容，建議使用嚴格 JSON，不依賴 JSONC 擴充。\n\n更多完整示例可見 `examples/config/`。該目錄僅供學習與自訂參考，不屬於官方內建\n配置列表。\n\n### Experimental Plugins 試驗性插件\n\nOpenCC 現已支援外部 C++ 分詞插件。當前第一個插件為 `opencc-jieba`，\n可通過 `s2t_jieba.json`、`s2tw_jieba.json`、`s2hk_jieba.json`、\n`s2twp_jieba.json`、`tw2sp_jieba.json` 等插件配置啓用。\n\nOpenCC now supports external C++ segmentation plugins. The first plugin is\n`opencc-jieba`, which can be enabled through plugin-backed configs such as\n`s2t_jieba.json`, `s2tw_jieba.json`, `s2hk_jieba.json`,\n`s2twp_jieba.json`, and `tw2sp_jieba.json`.\n\n注意：\n\n- 該插件機制目前仍為試驗性功能。\n- `jieba` 插件是可選組件，Python 套件和 Node.js 套件都不要求它。自 1.4.1 起，macOS 上的頂層 CMake 構建（含 Homebrew）預設啓用該插件（`BUILD_OPENCC_JIEBA_PLUGIN=ON`）；其他平台與以子項目方式引入的構建預設仍為關閉。\n- `opencc-jieba` 額外依賴 `cppjieba` 及其配套詞典資源，這些依賴僅在構建或分發該插件時需要。\n- 在下一次正式發布版本之前，插件 ABI 仍可能發生變化，不應視為穩定介面。\n- 我們預計從下一次正式發布版本開始，將插件 ABI 視為穩定介面。\n- Windows 下插件必須與宿主 OpenCC 二進位使用 ABI 相容的工具鏈／執行時構建；MSVC 與 MinGW 產物不支援混用。\n\nNotes:\n\n- The plugin mechanism is currently experimental.\n- The `jieba` plugin is optional and is not required by the Python package or\n  the Node.js package. Since 1.4.1, top-level CMake builds on macOS (including\n  Homebrew) enable the plugin by default (`BUILD_OPENCC_JIEBA_PLUGIN=ON`);\n  other platforms and subproject builds keep it disabled by default.\n- `opencc-jieba` additionally depends on `cppjieba` and its dictionary\n  resources. These dependencies are only needed when building or distributing\n  the plugin itself.\n- The plugin ABI may still change before the next formal OpenCC release and\n  should not yet be treated as stable.\n- We expect to treat the plugin ABI as stable starting with the next formal\n  OpenCC release.\n- On Windows, plugins must be built with an ABI-compatible toolchain/runtime as\n  the host OpenCC binary. Mixing MSVC-built hosts with MinGW-built plugins, or\n  the reverse, is unsupported.\n\n## Build 編譯\n\n### Build with CMake\n\n#### Linux & macOS\n\ng++ 4.6+ or clang 3.2+ is required.\n\n```bash\nmake\n```\n\n#### Windows Visual Studio:\n\n```bash\nbuild.cmd\n```\n\n### Build with Bazel\n\n```bash\nbazel build //:opencc\n```\n\n### Test 測試\n\n#### Linux & macOS\n\n```\nmake test\n```\n\n#### Windows Visual Studio:\n\n```bash\ntest.cmd\n```\n\n#### Test with Bazel\n\n```bash\nbazel test --test_output=all //src/... //data/... //python/... //test/...\n```\n\n### Benchmark 基準測試\n\n```\nmake benchmark\n```\n\n詳情見 [doc/benchmark.md](doc/benchmark.md) 檔案。\n\n## Projects using OpenCC 使用 OpenCC 的項目\n\nPlease update if your project is using OpenCC.\n\n* [ibus-pinyin](https://github.com/ibus/ibus-pinyin)\n* [fcitx](https://github.com/fcitx/fcitx)\n* [rimeime](https://rime.im/)\n* [libgooglepinyin](http://code.google.com/p/libgooglepinyin/)\n* [ibus-libpinyin](https://github.com/libpinyin/ibus-libpinyin)\n* [alfred-chinese-converter](https://github.com/amowu/alfred-chinese-converter)\n* [GoldenDict](https://github.com/goldendict/goldendict)\n* [China Biographical Database Project (CBDB)](https://cbdb.hsites.harvard.edu/)\n* [OpenCC-Traditional Chinese to Traditional Chinese (The Chinese Government Standard)](https://github.com/TerryTian-tech/OpenCC-Traditional-Chinese-characters-according-to-Chinese-government-standards)\n   * 將混雜不同標準的繁體字形轉換為中國《通用規範漢字表》(2013) 中的繁體字形\n   * [展示說明頁面](https://terrytian-tech.github.io/OpenCC-Traditional-Chinese-characters-according-to-Chinese-government-standards/)\n   * [轉換方案設計說明](https://github.com/TerryTian-tech/OpenCC-Traditional-Chinese-characters-according-to-Chinese-government-standards/blob/main/doc/%E3%80%8A%E9%80%9A%E7%94%A8%E8%A7%84%E8%8C%83%E6%B1%89%E5%AD%97%E8%A1%A8%E3%80%8B%E8%A7%84%E8%8C%83%E7%B9%81%E4%BD%93%E8%BD%AC%E6%8D%A2%E6%96%B9%E6%A1%88%E8%AE%BE%E8%AE%A1%E8%AF%B4%E6%98%8E.md)\n\n## License 許可協議\n\nApache License 2.0\n\n## Third Party Libraries 第三方庫\n\n* [darts-clone](https://github.com/s-yata/darts-clone) BSD License\n* [marisa-trie](https://github.com/s-yata/marisa-trie) BSD License\n* [tclap](http://tclap.sourceforge.net/) MIT License\n* [rapidjson](https://github.com/Tencent/rapidjson) MIT License\n* [Google Test](https://github.com/google/googletest) BSD License\n* [cppjieba](https://github.com/yanyiwu/cppjieba) MIT License\n  - Optional dependency used by the experimental `opencc-jieba` plugin.\n  - 試驗性 `opencc-jieba` 插件使用的可選依賴。\n\n## Code Signing 程式碼簽章\n\n自 1.4.2 起，Windows 發佈的二進位檔（可攜式 CLI 壓縮包中的執行檔，以及 npm\nwin32-x64 套件中的 `opencc.node` 與 `opencc-jieba.dll`）皆經過 Authenticode\n簽章。\n\nSince 1.4.2, the Windows binaries — the executables in the portable CLI zip\nand the `opencc.node` / `opencc-jieba.dll` shipped in the win32-x64 npm\npackages — are Authenticode-signed.\n\nThis program uses free code signing provided by\n[SignPath.io](https://about.signpath.io/), and a free code signing\ncertificate by the [SignPath Foundation](https://signpath.org/).\n\n本項目使用 [SignPath.io](https://about.signpath.io/) 免費提供的程式碼簽章服務，\n憑證由 [SignPath Foundation](https://signpath.org/) 免費提供。\n\n* **Code signing policy 簽章政策**：只有合併進 `master` 的提交會被簽章，簽章請求\n  由 [維護者](#contributors-貢獻者)在發佈流程中透過 GitHub Actions 發起\n  （見 [`release-winget.yml`](.github/workflows/release-winget.yml) 與\n  [`release-npm-binaries.yml`](.github/workflows/release-npm-binaries.yml)）。\n* **Privacy policy 隱私政策**：OpenCC 為離線的文字轉換程式庫與命令列工具，除非\n  使用者、安裝者或操作者明確要求，否則不會將任何資訊傳輸至其他網路系統。\n  This program will not transfer any information to other networked systems\n  unless specifically requested by the user or the person installing or\n  operating it.\n\n## Change History 版本歷史\n\n* [NEWS](https://github.com/BYVoid/OpenCC/blob/master/NEWS.md)\n  - 另見 https://opencc.byvoid.com/news/\n\n## Links 相關連結\n\n* [Publications Using OpenCC](https://github.com/BYVoid/OpenCC/blob/master/PUBLICATIONS.md) - 近年來使用了 OpenCC 的研究論文選錄\n* [現代漢語常用繁簡轉換匹配辨析表](https://github.com/BYVoid/OpenCC/blob/master/doc/characters-easy-to-misuse.md)\n* 關於 [`opencc`](https://www.npmjs.com/package/opencc), [`opencc-js`](https://www.npmjs.com/package/opencc-js) 与 [`opencc-wasm`](https://www.npmjs.com/package/opencc-wasm) 三个 NPM packages 區別的說明\n  https://github.com/nk2028/opencc-js/blob/HEAD/README-zh-TW.md#%E8%88%87-opencc-npm-package-%E7%9A%84%E5%8D%80%E5%88%A5\n\n## Contributors 貢獻者\n\n* [BYVoid](http://www.byvoid.com/)\n* [佛振](https://github.com/lotem)\n* [Peng Huang](https://github.com/phuang)\n* [LI Daobing](https://github.com/lidaobing)\n* [Kefu Chai](https://github.com/tchaikov)\n* [Kan-Ru Chen](http://kanru.info/)\n* [Ma Xiaojun](https://twitter.com/damage3025)\n* [Jiang Jiang](http://jjgod.org/)\n* [Ruey-Cheng Chen](https://github.com/rueycheng)\n* [Paul Meng](http://home.mno2.org/)\n* [Lawrence Lau](https://github.com/ktslwy)\n* [瑾昀](https://github.com/kunki)\n* [內木一郎](https://github.com/SyaoranHinata)\n* [Marguerite Su](https://www.marguerite.su/)\n* [Brian White](http://mscdex.net)\n* [Qijiang Fan](https://fqj.me/)\n* [LEOYoon-Tsaw](https://github.com/LEOYoon-Tsaw)\n* [Steven Yao](https://github.com/stevenyao)\n* [Pellaeon Lin](https://github.com/pellaeon)\n* [stony](https://github.com/stony-shixz)\n* [steelywing](https://github.com/steelywing)\n* [吕旭东](https://github.com/lvxudong)\n* [Weng Xuetian](https://github.com/wengxt)\n* [Ma Tao](https://github.com/iwater)\n* [Heinz Wiesinger](https://github.com/pprkut)\n* [J.W](https://github.com/jakwings)\n* [Amo Wu](https://github.com/amowu)\n* [Mark Tsai](https://github.com/mxgit1090)\n* [Zhe Wang](https://github.com/0x1997)\n* [sgqy](https://github.com/sgqy)\n* [Qichuan (Sean) ZHANG](https://github.com/qichuan)\n* [Flandre Scarlet](https://github.com/XadillaX)\n* [宋辰文](https://github.com/songchenwen)\n* [iwater](https://github.com/iwater)\n* [Xpol Wan](https://github.com/xpol)\n* [Weihang Lo](https://github.com/weihanglo)\n* [Cychih](https://github.com/pi314)\n* [kyleskimo](https://github.com/kyleskimo)\n* [Ryuan Choi](https://github.com/bunhere)\n* [Prcuvu](https://github.com/Prcuvu)\n* [Tony Able](https://github.com/TonyAble)\n* [Xiao Liang](https://github.com/yxliang01)\n* [Frank Lin](https://github.com/frankslin)\n\nPlease feel free to update this list if you have contributed OpenCC.\n","readmeFilename":"README.md","users":{"ybm":true,"noah_":true,"byvoid":true,"faulfish":true,"orangeclk":true,"snowdream":true,"f124275809":true,"sabrina.luo":true}}