Sample Code

 // Obtain the language detector.
 // Method 1: Use default parameter settings.
 MLRemoteLangDetector mlRemoteLangDetector = MLLangDetectorFactory.getInstance()
.getRemoteLangDetector();
 // Method 2: Use customized parameter settings.
 // setTrustedThreshold: Set the minimum confidence threshold for language detection.
 MLRemoteLangDetectorSetting mlRemoteLangDetectorSetting = new MLRemoteLangDetectorSetting.Factory()
.setTrustedThreshold(0.01f)
.create();
 MLRemoteLangDetector mlRemoteLangDetector = MLLangDetectorFactory.getInstance()
.getRemoteLangDetector(mlRemoteLangDetectorSetting);
 // Return the detection results of multiple languages, including language codes and confidences, sourceText: text to be detected.
 Task<List<MLDetectedLang>> probabilityDetectTask = mlRemoteLangDetector.probabilityDetect(sourceText);
 probabilityDetectTask.addOnSuccessListener(new OnSuccessListener<List<MLDetectedLang>>() {
     public void onSuccess(List<MLDetectedLang> result) {
         // Processing logic for success.
     }
 }).addOnFailureListener(new OnFailureListener() {
     public void onFailure(Exception e) {
         // Processing logic for failure.
     }
 });
 // Return the language code with the highest confidence, sourceText: text to be detected.
 Task<String> firstBestDetectTask = mlRemoteLangDetector.firstBestDetect(sourceText);
 firstBestDetectTask.addOnSuccessListener(new OnSuccessListener<String>() {
     public void onSuccess(String s) {
         // Processing logic for success.
     }
 }).addOnFailureListener(new OnFailureListener() {
     public void onFailure(Exception e) {
         // Processing logic for failure.
     }
 });
 // Release the resources.
 mlRemoteLangDetector.stop();

Constant Summary

Public Method Summary

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