语言识别
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
借助机器学习套件的设备端语言识别 API，您可以确定文本字符串的语言。
在处理用户提供的文本（通常不包含任何语言信息）时，语言识别非常有用。
iOS
Android
主要功能
示例结果
| 简单的语言识别 |
|---|
| “我的气垫船上装满了鳗鱼。” |
en（英语） |
| “Dao shan xue hai” |
zh-Latn（拉丁化中文） |
| "ph'nglui mglw'nafh wgah'nagl fhtagn" |
und（未确定） |
| 置信度分布 |
|---|
| “友好政变” |
en (0.52)
fr (0.44)
ca (0.03)
|
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-11-02。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-11-02。"],[],["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"]]
