在 Android 上使用 ML Kit 翻譯文字
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
您可以使用 ML Kit 在不同語言之間翻譯文字。ML Kit 目前支援59 種語言之間的翻譯。
事前準備
- 如果您尚未將 Firebase 新增至 Android 專案,請新增 Firebase。
- 將 ML Kit Android 程式庫的依附元件新增至模組 (應用程式層級) Gradle 檔案 (通常為
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'
}
翻譯文字字串
如要翻譯兩種語言之間的字串,請按照下列步驟操作:
建立 FirebaseTranslator
物件,並使用來源和目標語言進行設定:
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)
如果您不清楚輸入文字的語言,可以先使用語言辨識 API。(但請確認裝置上一次儲存的語言模型不要太多)。
確認已將必要的翻譯模型下載到裝置。請等到您知道模型可用時,再呼叫 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.
// ...
}
語言模型約為 30 MB,因此請勿下載不必要的語言模型,並且只在使用者指定的情況下,才透過 Wi-Fi 下載語言模型。您也應刪除不需要的模型。請參閱「明確管理翻譯模型」。
確認已下載模型後,請將來源語言的文字字串傳遞至 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.
// ...
}
系統會將翻譯文字 (以您設定的目標語言顯示) 傳遞至成功事件監聽器。
明確管理轉譯模型
當您按照上述方式使用翻譯 API 時,ML Kit 會視需要自動將特定語言的翻譯模型下載到裝置。您也可以使用 ML Kit 的翻譯模型管理 API,明確管理您希望在裝置上提供的翻譯模型。如果您想提前下載模型,或從裝置中刪除不需要的模型,這項功能就很實用。
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.
}
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上次更新時間:2025-08-16 (世界標準時間)。
[null,null,["上次更新時間:2025-08-16 (世界標準時間)。"],[],[],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 }"]]