letlanguageId=NaturalLanguage.naturalLanguage().languageIdentification()languageId.identifyLanguage(for:text){(languageCode,error)inifleterror=error{print("Failed with error: \(error)")return}ifletlanguageCode=languageCode,languageCode!="und"{print("Identified Language: \(languageCode)")}else{print("No language was identified")}}
Objective-C
FIRNaturalLanguage*naturalLanguage=[FIRNaturalLanguagenaturalLanguage];FIRLanguageIdentification*languageId=[naturalLanguagelanguageIdentification];[languageIdidentifyLanguageForText:textcompletion:^(NSString*_NullablelanguageCode,NSError*_Nullableerror){if(error!=nil){NSLog(@"Failed with error: %@",error.localizedDescription);return;}if(languageCode!=nil && ![languageCodeisEqualToString:@"und"]){NSLog(@"Identified Language: %@",languageCode);}else{NSLog(@"No language was identified");}}];
如果呼叫成功,
BCP-47 語言代碼是
傳遞至完成處理常式,會指出文字的語言。詳情請參閱
支援語言的完整清單。如果答案為「否」
系統就能正確偵測語言,就會傳遞 und (未判定) 程式碼。
根據預設,ML Kit 必須識別出非 und 值,才會傳回非 und 值
信賴價值至少為 0.5 的語言。您可以變更這個門檻
方法是將 LanguageIdentificationOptions 物件傳遞至
languageIdentification(options:):
letlanguageId=NaturalLanguage.naturalLanguage().languageIdentification()languageId.identifyPossibleLanguages(for:text){(identifiedLanguages,error)inifleterror=error{print("Failed with error: \(error)")return}guardletidentifiedLanguages=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"))}
Objective-C
FIRNaturalLanguage*naturalLanguage=[FIRNaturalLanguagenaturalLanguage];FIRLanguageIdentification*languageId=[naturalLanguagelanguageIdentification];[languageIdidentifyPossibleLanguagesForText:textcompletion:^(NSArray<FIRIdentifiedLanguage*>*_NonnullidentifiedLanguages,NSError*_Nullableerror){if(error!=nil){NSLog(@"Failed with error: %@",error.localizedDescription);return;}if(identifiedLanguages.count==1 && [identifiedLanguages[0].languageCodeisEqualToString:@"und"]){NSLog(@"No language was identified");return;}NSMutableString*outputText=[NSMutableStringstringWithFormat:@"Identified Languages:"];for(FIRIdentifiedLanguage*languageinidentifiedLanguages){[outputTextappendFormat:@"\n(%@, %.2f)",language.languageCode,language.confidence];}NSLog(outputText);}];
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2025-09-04 (世界標準時間)。"],[],[],null,["You can use ML Kit to identify the language of a string of text. You can\nget the string's most likely language or get confidence scores for all of the\nstring's possible languages.\n\nML Kit recognizes text in 103 different languages in their native scripts.\nIn addition, romanized text can be recognized for Arabic, Bulgarian, Chinese,\nGreek, Hindi, Japanese, and Russian.\n\n\u003cbr /\u003e\n\nBefore you begin\n\n1. If you have not already added Firebase to your app, do so by following the steps in the [getting started guide](/docs/ios/setup).\n2. Include the ML Kit libraries in your Podfile: \n\n ```\n pod 'Firebase/MLNaturalLanguage', '6.25.0'\n pod 'Firebase/MLNLLanguageID', '6.25.0'\n ```\n After you install or update your project's Pods, be sure to open your Xcode project using its `.xcworkspace`.\n3. In your app, import Firebase: \n\n Swift \n\n ```swift\n import Firebase\n ```\n\n Objective-C \n\n ```objective-c\n @import Firebase;\n ```\n\nIdentify the language of a string\n\nTo identify the language of a string, get an instance of\n`LanguageIdentification`, and then pass the string to the\n`identifyLanguage(for:)` method.\n\nFor example: \n\nSwift \n\n let languageId = NaturalLanguage.naturalLanguage().languageIdentification()\n\n languageId.identifyLanguage(for: text) { (languageCode, error) in\n if let error = error {\n print(\"Failed with error: \\(error)\")\n return\n }\n if let languageCode = languageCode, languageCode != \"und\" {\n print(\"Identified Language: \\(languageCode)\")\n } else {\n print(\"No language was identified\")\n }\n }\n\nObjective-C \n\n FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];\n FIRLanguageIdentification *languageId = [naturalLanguage languageIdentification];\n\n [languageId identifyLanguageForText:text\n completion:^(NSString * _Nullable languageCode,\n NSError * _Nullable error) {\n if (error != nil) {\n NSLog(@\"Failed with error: %@\", error.localizedDescription);\n return;\n }\n if (languageCode != nil\n && ![languageCode isEqualToString:@\"und\"] ) {\n NSLog(@\"Identified Language: %@\", languageCode);\n } else {\n NSLog(@\"No language was identified\");\n }\n }];\n\nIf the call succeeds, a\n[BCP-47 language code](//en.wikipedia.org/wiki/IETF_language_tag) is\npassed to the completion handler, indicating the language of the text. See the\n[complete list of supported languages](/docs/ml-kit/langid-support). If no\nlanguage could be confidently detected, the code `und` (undetermined) is passed.\n\nBy default, ML Kit returns a non-`und` value only when it identifies the\nlanguage with a confidence value of at least 0.5. You can change this threshold\nby passing a `LanguageIdentificationOptions` object to\n`languageIdentification(options:)`: \n\nSwift \n\n let options = LanguageIdentificationOptions(confidenceThreshold: 0.4)\n let languageId = NaturalLanguage.naturalLanguage().languageIdentification(options: options)\n\nObjective-C \n\n FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];\n FIRLanguageIdentificationOptions *options =\n [[FIRLanguageIdentificationOptions alloc] initWithConfidenceThreshold:0.4];\n FIRLanguageIdentification *languageId =\n [naturalLanguage languageIdentificationWithOptions:options];\n\nGet the possible languages of a string\n\nTo get the confidence values of a string's most likely languages, get an\ninstance of `LanguageIdentification`, and then pass the string to the\n`identifyPossibleLanguages(for:)` method.\n\nFor example: \n\nSwift \n\n let languageId = NaturalLanguage.naturalLanguage().languageIdentification()\n\n languageId.identifyPossibleLanguages(for: text) { (identifiedLanguages, error) in\n if let error = error {\n print(\"Failed with error: \\(error)\")\n return\n }\n guard let identifiedLanguages = identifiedLanguages,\n !identifiedLanguages.isEmpty,\n identifiedLanguages[0].languageCode != \"und\"\n else {\n print(\"No language was identified\")\n return\n }\n\n print(\"Identified Languages:\\n\" +\n identifiedLanguages.map {\n String(format: \"(%@, %.2f)\", $0.languageCode, $0.confidence)\n }.joined(separator: \"\\n\"))\n }\n\nObjective-C \n\n FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];\n FIRLanguageIdentification *languageId = [naturalLanguage languageIdentification];\n\n [languageId identifyPossibleLanguagesForText:text\n completion:^(NSArray\u003cFIRIdentifiedLanguage *\u003e * _Nonnull identifiedLanguages,\n NSError * _Nullable error) {\n if (error != nil) {\n NSLog(@\"Failed with error: %@\", error.localizedDescription);\n return;\n }\n if (identifiedLanguages.count == 1\n && [identifiedLanguages[0].languageCode isEqualToString:@\"und\"] ) {\n NSLog(@\"No language was identified\");\n return;\n }\n NSMutableString *outputText = [NSMutableString stringWithFormat:@\"Identified Languages:\"];\n for (FIRIdentifiedLanguage *language in identifiedLanguages) {\n [outputText appendFormat:@\"\\n(%@, %.2f)\", language.languageCode, language.confidence];\n }\n NSLog(outputText);\n }];\n\nIf the call succeeds, a list of `IdentifiedLanguage` objects is passed to the\ncontinuation handler. From each object, you can get the language's BCP-47 code\nand the confidence that the string is in that language. See the\n[complete list of supported languages](/docs/ml-kit/langid-support). Note that\nthese values indicate the confidence that the entire string is in the given\nlanguage; ML Kit doesn't identify multiple languages in a single string.\n\nBy default, ML Kit returns only languages with confidence values of at least\n0.01. You can change this threshold by passing a\n`LanguageIdentificationOptions` object to `languageIdentification(options:)`: \n\nSwift \n\n let options = LanguageIdentificationOptions(confidenceThreshold: 0.4)\n let languageId = NaturalLanguage.naturalLanguage().languageIdentification(options: options)\n\nObjective-C \n\n FIRNaturalLanguage *naturalLanguage = [FIRNaturalLanguage naturalLanguage];\n FIRLanguageIdentificationOptions *options =\n [[FIRLanguageIdentificationOptions alloc] initWithConfidenceThreshold:0.4];\n FIRLanguageIdentification *languageId =\n [naturalLanguage languageIdentificationWithOptions:options];\n\nIf no language meets this threshold, the list will have one item, with the value\n`und`."]]