語言識別
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
使用 ML Kit 的裝置端語言識別 API，即可判斷字串的語言。
語言識別在處理使用者提供的文字時非常有用，通常不會隨附任何語言資訊。
iOS
Android
主要功能
搜尋結果範例
| 簡單語言識別 |
|---|
| 「我的懸浮機是滿的鰻魚。」 |
en (英文) |
| 「Dao shan xue hai」 |
zh-Latn (拉丁文) |
| 「ph'nglui mglw'nafh wgah'nagl fhtagn」 |
und (未定) |
| 信心分佈 |
|---|
| 「食用 Coup d'etat」 |
en (0.52)
fr (0.44)
ca (0.03)
|
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上次更新時間：2025-08-29 (世界標準時間)。
[null,null,["上次更新時間：2025-08-29 (世界標準時間)。"],[[["\u003cp\u003eML Kit's language identification API allows you to determine the language of a text string, which is particularly helpful when dealing with user-generated content that often lacks language information.\u003c/p\u003e\n"],["\u003cp\u003eIt supports a wide range of languages, including romanized versions of Arabic, Bulgarian, Greek, Hindi, Japanese, Russian, and Chinese text.\u003c/p\u003e\n"],["\u003cp\u003eThe API can provide a simple language identification or a confidence distribution across multiple languages for a given text.\u003c/p\u003e\n"]]],["ML Kit's on-device API identifies the language of text strings, supporting over one hundred languages, including romanized versions of Arabic, Bulgarian, Greek, Hindi, Japanese, Russian, and Chinese. It's designed for user-provided text that lacks language information. The API outputs language codes (e.g., `en` for English) or `und` for undetermined. For ambiguous cases, it provides a confidence distribution across multiple languages (e.g., `en` (0.52), `fr` (0.44)).\n"],null,["With ML Kit's on-device language identification API, you can determine the\nlanguage of a string of text.\n\nLanguage identification can be useful when working with user-provided text,\nwhich often doesn't come with any language information.\n\n[iOS](/ml-kit/language/identification/ios)\n[Android](/ml-kit/language/identification/android)\n\nKey capabilities\n\n- **Broad language support.** Identifies over one hundred different languages. See the\n [complete list](/ml-kit/language/identification/langid-support).\n\n- **Romanized text support.** Identifies Arabic, Bulgarian, Greek, Hindi, Japanese,\n Russian, and Chinese text in both native and romanized script.\n\nExample results\n\n| Simple language identification ||\n|---------------------------------------|-------------------------------|\n| \"My hovercraft is full of eels.\" | `en` (English) |\n| \"Dao shan xue hai\" | `zh-Latn` (Latinized Chinese) |\n| \"ph'nglui mglw'nafh wgah'nagl fhtagn\" | `und` (undetermined) |\n\n| Confidence distribution ||\n|---------------------------|-------------------------------------|\n| \"an amicable coup d'etat\" | `en` (0.52) `fr` (0.44) `ca` (0.03) |"]]
