在 Android 系统中使用机器学习套件翻译文本
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。
您可以使用机器学习套件实现语言之间的文本互译。机器学习套件目前支持 59 种语言之间的互译。
准备工作
- 将 Firebase 添加到您的 Android 项目(如果尚未添加)。
- 将 Android 版机器学习套件库的依赖项添加到您的模块(应用级层)Gradle 文件(通常为
app/build.gradle
):apply plugin: 'com.android.application'
apply plugin: 'com.google.gms.google-services'
dependencies {
// ...
implementation 'com.google.firebase:firebase-ml-natural-language:22.0.0'
implementation 'com.google.firebase:firebase-ml-natural-language-translate-model:20.0.8'
}
翻译文本字符串
为实现字符串在两种语言之间的互译,请执行以下操作:
创建一个 FirebaseTranslator
对象,并使用源语言和目标语言对其进行配置:
Java
// Create an English-German translator:
FirebaseTranslatorOptions options =
new FirebaseTranslatorOptions.Builder()
.setSourceLanguage(FirebaseTranslateLanguage.EN)
.setTargetLanguage(FirebaseTranslateLanguage.DE)
.build();
final FirebaseTranslator englishGermanTranslator =
FirebaseNaturalLanguage.getInstance().getTranslator(options);
Kotlin
// Create an English-German translator:
val options = FirebaseTranslatorOptions.Builder()
.setSourceLanguage(FirebaseTranslateLanguage.EN)
.setTargetLanguage(FirebaseTranslateLanguage.DE)
.build()
val englishGermanTranslator = FirebaseNaturalLanguage.getInstance().getTranslator(options)
如果您不知道输入文本的语言,可以先使用语言识别 API。(但请确保您不会在设备上同时保留太多语言模型。)
确保已将所需的翻译模型下载到设备上。
确信模型可用之后,再调用 translate()
。
Java
FirebaseModelDownloadConditions conditions = new FirebaseModelDownloadConditions.Builder()
.requireWifi()
.build();
englishGermanTranslator.downloadModelIfNeeded(conditions)
.addOnSuccessListener(
new OnSuccessListener<Void>() {
@Override
public void onSuccess(Void v) {
// Model downloaded successfully. Okay to start translating.
// (Set a flag, unhide the translation UI, etc.)
}
})
.addOnFailureListener(
new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// Model couldn’t be downloaded or other internal error.
// ...
}
});
Kotlin
englishGermanTranslator.downloadModelIfNeeded()
.addOnSuccessListener {
// Model downloaded successfully. Okay to start translating.
// (Set a flag, unhide the translation UI, etc.)
}
.addOnFailureListener { exception ->
// Model couldn’t be downloaded or other internal error.
// ...
}
语言模型大小约为 30 MB,因此若非必要,请勿下载。此外,除非用户另行指定,否则应仅使用 WiFi 下载语言模型。您还应删除不需要的模型。
请参阅显式管理翻译模型。
确认模型已下载后,将源语言的文本字符串传递至 translate()
:
Java
englishGermanTranslator.translate(text)
.addOnSuccessListener(
new OnSuccessListener<String>() {
@Override
public void onSuccess(@NonNull String translatedText) {
// Translation successful.
}
})
.addOnFailureListener(
new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// Error.
// ...
}
});
Kotlin
englishGermanTranslator.translate(text)
.addOnSuccessListener { translatedText ->
// Translation successful.
}
.addOnFailureListener { exception ->
// Error.
// ...
}
采用配置的目标语言的译文即会传递给成功监听器。
显式管理翻译模型
在您按上文所述使用翻译 API 时,机器学习套件会根据需要自动将特定语言的翻译模型下载到设备。您还可以使用机器学习套件的翻译模型管理 API 来显式管理设备上可用的翻译模型。如果您想提前下载模型或从设备中删除不需要的模型,此方法会非常有用。
Java
FirebaseModelManager modelManager = FirebaseModelManager.getInstance();
// Get translation models stored on the device.
modelManager.getDownloadedModels(FirebaseTranslateRemoteModel.class)
.addOnSuccessListener(new OnSuccessListener<Set<FirebaseTranslateRemoteModel>>() {
@Override
public void onSuccess(Set<FirebaseTranslateRemoteModel> models) {
// ...
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// Error.
}
});
// Delete the German model if it's on the device.
FirebaseTranslateRemoteModel deModel =
new FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.DE).build();
modelManager.deleteDownloadedModel(deModel)
.addOnSuccessListener(new OnSuccessListener<Void>() {
@Override
public void onSuccess(Void v) {
// Model deleted.
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// Error.
}
});
// Download the French model.
FirebaseTranslateRemoteModel frModel =
new FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.FR).build();
FirebaseModelDownloadConditions conditions = new FirebaseModelDownloadConditions.Builder()
.requireWifi()
.build();
modelManager.download(frModel, conditions)
.addOnSuccessListener(new OnSuccessListener<Void>() {
@Override
public void onSuccess(Void v) {
// Model downloaded.
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// Error.
}
});
Kotlin
val modelManager = FirebaseModelManager.getInstance()
// Get translation models stored on the device.
modelManager.getDownloadedModels(FirebaseTranslateRemoteModel::class.java)
.addOnSuccessListener { models ->
// ...
}
.addOnFailureListener {
// Error.
}
// Delete the German model if it's on the device.
val deModel = FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.DE).build()
modelManager.deleteDownloadedModel(deModel)
.addOnSuccessListener {
// Model deleted.
}
.addOnFailureListener {
// Error.
}
// Download the French model.
val frModel = FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.FR).build()
val conditions = FirebaseModelDownloadConditions.Builder()
.requireWifi()
.build()
modelManager.download(frModel, conditions)
.addOnSuccessListener {
// Model downloaded.
}
.addOnFailureListener {
// Error.
}
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):2025-08-18。
[null,null,["最后更新时间 (UTC):2025-08-18。"],[],[],null,["You can use ML Kit to translate text between languages. ML Kit\ncurrently supports translation between\n[59 languages](/docs/ml-kit/translation-language-support).\n\n\u003cbr /\u003e\n\nBefore you begin\n\n1. If you haven't already, [add Firebase to your Android project](/docs/android/setup).\n2. Add the dependencies for the ML Kit Android libraries to your module (app-level) Gradle file (usually `app/build.gradle`): \n\n ```carbon\n apply plugin: 'com.android.application'\n apply plugin: 'com.google.gms.google-services'\n\n dependencies {\n // ...\n\n implementation 'com.google.firebase:firebase-ml-natural-language:22.0.0'\n implementation 'com.google.firebase:firebase-ml-natural-language-translate-model:20.0.8'\n }\n ```\n\nTranslate a string of text\n\nTo translate a string between two languages:\n\n1. Create a `FirebaseTranslator` object, configuring it with the source and\n target languages:\n\n Java \n\n // Create an English-German translator:\n FirebaseTranslatorOptions options =\n new FirebaseTranslatorOptions.Builder()\n .setSourceLanguage(FirebaseTranslateLanguage.EN)\n .setTargetLanguage(FirebaseTranslateLanguage.DE)\n .build();\n final FirebaseTranslator englishGermanTranslator =\n FirebaseNaturalLanguage.getInstance().getTranslator(options);\n\n Kotlin \n\n // Create an English-German translator:\n val options = FirebaseTranslatorOptions.Builder()\n .setSourceLanguage(FirebaseTranslateLanguage.EN)\n .setTargetLanguage(FirebaseTranslateLanguage.DE)\n .build()\n val englishGermanTranslator = FirebaseNaturalLanguage.getInstance().getTranslator(options)\n\n If you don't know the language of the input text, you can use the [language\n identification API](/docs/ml-kit/identify-languages) first. (But be sure you\n don't keep too many language models on the device at once.)\n2. Make sure the required translation model has been downloaded to the device.\n Don't call `translate()` until you know the model is available.\n\n Java \n\n FirebaseModelDownloadConditions conditions = new FirebaseModelDownloadConditions.Builder()\n .requireWifi()\n .build();\n englishGermanTranslator.downloadModelIfNeeded(conditions)\n .addOnSuccessListener(\n new OnSuccessListener\u003cVoid\u003e() {\n @Override\n public void onSuccess(Void v) {\n // Model downloaded successfully. Okay to start translating.\n // (Set a flag, unhide the translation UI, etc.)\n }\n })\n .addOnFailureListener(\n new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n // Model couldn't be downloaded or other internal error.\n // ...\n }\n });\n\n Kotlin \n\n englishGermanTranslator.downloadModelIfNeeded()\n .addOnSuccessListener {\n // Model downloaded successfully. Okay to start translating.\n // (Set a flag, unhide the translation UI, etc.)\n }\n .addOnFailureListener { exception -\u003e\n // Model couldn't be downloaded or other internal error.\n // ...\n }\n\n Language models are around 30MB, so don't download them unnecessarily, and\n only download them using WiFi, unless the user has specified otherwise. You\n should also delete unneeded models.\n See [Explicitly manage translation models](#manage_models).\n3. After you confirm the model has been downloaded, pass a string of text in\n the source language to `translate()`:\n\n Java \n\n englishGermanTranslator.translate(text)\n .addOnSuccessListener(\n new OnSuccessListener\u003cString\u003e() {\n @Override\n public void onSuccess(@NonNull String translatedText) {\n // Translation successful.\n }\n })\n .addOnFailureListener(\n new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n // Error.\n // ...\n }\n });\n\n Kotlin \n\n englishGermanTranslator.translate(text)\n .addOnSuccessListener { translatedText -\u003e\n // Translation successful.\n }\n .addOnFailureListener { exception -\u003e\n // Error.\n // ...\n }\n\n The translated text, in the target language you configured, is passed to the\n success listener.\n\nExplicitly manage translation models\n\n\nWhen you use the translation API as described above, ML Kit automatically\ndownloads language-specific translation models to the device as required. You\ncan also explicitly manage the translation models you want available on the\ndevice by using ML Kit's translation model management API. This can be\nuseful if you want to download models ahead of time, or delete unneeded models\nfrom the device.\n\n\u003cbr /\u003e\n\nJava \n\n FirebaseModelManager modelManager = FirebaseModelManager.getInstance();\n\n // Get translation models stored on the device.\n modelManager.getDownloadedModels(FirebaseTranslateRemoteModel.class)\n .addOnSuccessListener(new OnSuccessListener\u003cSet\u003cFirebaseTranslateRemoteModel\u003e\u003e() {\n @Override\n public void onSuccess(Set\u003cFirebaseTranslateRemoteModel\u003e models) {\n // ...\n }\n })\n .addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n // Error.\n }\n });\n\n // Delete the German model if it's on the device.\n FirebaseTranslateRemoteModel deModel =\n new FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.DE).build();\n modelManager.deleteDownloadedModel(deModel)\n .addOnSuccessListener(new OnSuccessListener\u003cVoid\u003e() {\n @Override\n public void onSuccess(Void v) {\n // Model deleted.\n }\n })\n .addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n // Error.\n }\n });\n\n // Download the French model.\n FirebaseTranslateRemoteModel frModel =\n new FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.FR).build();\n FirebaseModelDownloadConditions conditions = new FirebaseModelDownloadConditions.Builder()\n .requireWifi()\n .build();\n modelManager.download(frModel, conditions)\n .addOnSuccessListener(new OnSuccessListener\u003cVoid\u003e() {\n @Override\n public void onSuccess(Void v) {\n // Model downloaded.\n }\n })\n .addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n // Error.\n }\n });\n\nKotlin \n\n val modelManager = FirebaseModelManager.getInstance()\n\n // Get translation models stored on the device.\n modelManager.getDownloadedModels(FirebaseTranslateRemoteModel::class.java)\n .addOnSuccessListener { models -\u003e\n // ...\n }\n .addOnFailureListener {\n // Error.\n }\n\n // Delete the German model if it's on the device.\n val deModel = FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.DE).build()\n modelManager.deleteDownloadedModel(deModel)\n .addOnSuccessListener {\n // Model deleted.\n }\n .addOnFailureListener {\n // Error.\n }\n\n // Download the French model.\n val frModel = FirebaseTranslateRemoteModel.Builder(FirebaseTranslateLanguage.FR).build()\n val conditions = FirebaseModelDownloadConditions.Builder()\n .requireWifi()\n .build()\n modelManager.download(frModel, conditions)\n .addOnSuccessListener {\n // Model downloaded.\n }\n .addOnFailureListener {\n // Error.\n }"]]