在 iOS 上使用 ML Kit 辨識文字語言

您可以使用 ML Kit 辨識文字字串的語言。您可以取得字串最可能的語言，或是取得所有字串可用語言的可信度分數。

ML Kit 可辨識原生指令碼中 103 種不同語言的文字。此外，系統可辨識阿拉伯文、保加利亞文、中文、希臘文、北印度文、日文和俄文，

事前準備

1. 如果您尚未將 Firebase 加入應用程式，請按照入門指南中的步驟進行。
2. 在 Podfile 中加入 ML Kit 程式庫：

   pod 'Firebase/MLNaturalLanguage', '6.25.0'
   pod 'Firebase/MLNLLanguageID', '6.25.0'
   

   安裝或更新專案的 Pod 後，請務必使用 .xcworkspace 開啟 Xcode 專案。
3. 在應用程式中匯入 Firebase：

   Swift

   import Firebase

   Objective-C

   @import Firebase;

辨別字串的語言

如要識別字串的語言，請取得 LanguageIdentification 的執行個體，然後將字串傳遞至 identifyLanguage(for:) 方法。

例如：

let languageId = NaturalLanguage.naturalLanguage().languageIdentification()

languageId.identifyLanguage(for: text) { (languageCode, error) in
  if let error = error {
    print("Failed with error: \(error)")
    return
  }
  if let languageCode = languageCode, languageCode != "und" {
    print("Identified Language: \(languageCode)")
  } else {
    print("No language was identified")
  }
}

FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];
FIRLanguageIdentification *languageId = [naturalLanguage languageIdentification];

[languageId identifyLanguageForText:text
                         completion:^(NSString * _Nullable languageCode,
                                      NSError * _Nullable error) {
                           if (error != nil) {
                             NSLog(@"Failed with error: %@", error.localizedDescription);
                             return;
                           }
                           if (languageCode != nil
                               && ![languageCode isEqualToString:@"und"] ) {
                             NSLog(@"Identified Language: %@", languageCode);
                           } else {
                             NSLog(@"No language was identified");
                           }
                         }];

如果呼叫成功，系統會將 BCP-47 語言代碼傳遞至完成處理常式，指出文字的語言。查看支援語言的完整清單。如果沒有完全偵測出的語言，則會傳遞 und (未確定) 程式碼。

根據預設，ML Kit 只有在識別可信度值至少為 0.5 的語言時，才會傳回非 und 值。如要變更這個門檻，請將 LanguageIdentificationOptions 物件傳遞至 languageIdentification(options:)：

let options = LanguageIdentificationOptions(confidenceThreshold: 0.4)
let languageId = NaturalLanguage.naturalLanguage().languageIdentification(options: options)

FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];
FIRLanguageIdentificationOptions *options =
    [[FIRLanguageIdentificationOptions alloc] initWithConfidenceThreshold:0.4];
FIRLanguageIdentification *languageId =
    [naturalLanguage languageIdentificationWithOptions:options];

取得字串的可能語言

如要針對字串最有可能使用的語言取得信心值，請取得 LanguageIdentification 的例項，然後將字串傳遞至 identifyPossibleLanguages(for:) 方法。

例如：

let languageId = NaturalLanguage.naturalLanguage().languageIdentification()

languageId.identifyPossibleLanguages(for: text) { (identifiedLanguages, error) in
  if let error = error {
    print("Failed with error: \(error)")
    return
  }
  guard let identifiedLanguages = identifiedLanguages,
    !identifiedLanguages.isEmpty,
    identifiedLanguages[0].languageCode != "und"
  else {
    print("No language was identified")
    return
  }

  print("Identified Languages:\n" +
    identifiedLanguages.map {
      String(format: "(%@, %.2f)", $0.languageCode, $0.confidence)
      }.joined(separator: "\n"))
}

FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];
FIRLanguageIdentification *languageId = [naturalLanguage languageIdentification];

[languageId identifyPossibleLanguagesForText:text
                                  completion:^(NSArray<FIRIdentifiedLanguage *> * _Nonnull identifiedLanguages,
                                               NSError * _Nullable error) {
  if (error != nil) {
    NSLog(@"Failed with error: %@", error.localizedDescription);
    return;
  }
  if (identifiedLanguages.count == 1
      && [identifiedLanguages[0].languageCode isEqualToString:@"und"] ) {
    NSLog(@"No language was identified");
    return;
  }
  NSMutableString *outputText = [NSMutableString stringWithFormat:@"Identified Languages:"];
  for (FIRIdentifiedLanguage *language in identifiedLanguages) {
    [outputText appendFormat:@"\n(%@, %.2f)", language.languageCode, language.confidence];
  }
  NSLog(outputText);
}];

如果呼叫成功，系統會將 IdentifiedLanguage 物件清單傳遞至接續處理常式。透過每個物件，您可以取得語言的 BCP-47 程式碼，以及字串以該語言編寫的信心。查看支援語言的完整清單。請注意，這些值代表整個字串以指定語言表示，ML Kit 不會在單一字串中識別多種語言。

根據預設，ML Kit 只會傳回可信度值至少為 0.01 的語言。如要變更這個門檻，請將 LanguageIdentificationOptions 物件傳遞至 languageIdentification(options:)：

let options = LanguageIdentificationOptions(confidenceThreshold: 0.4)
let languageId = NaturalLanguage.naturalLanguage().languageIdentification(options: options)

FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];
FIRLanguageIdentificationOptions *options =
    [[FIRLanguageIdentificationOptions alloc] initWithConfidenceThreshold:0.4];
FIRLanguageIdentification *languageId =
    [naturalLanguage languageIdentificationWithOptions:options];

如果沒有語言符合此門檻，清單就會有一個項目，值為 und。