funcanalyzeSyntax(ctxcontext.Context,client*language.Client,textstring)(*languagepb.AnnotateTextResponse,error){returnclient.AnnotateText(ctx,&languagepb.AnnotateTextRequest{Document:&languagepb.Document{Source:&languagepb.Document_Content{Content:text,},Type:languagepb.Document_PLAIN_TEXT,},Features:&languagepb.AnnotateTextRequest_Features{ExtractSyntax:true,},EncodingType:languagepb.EncodingType_UTF8,})}

// Instantiate the Language client com.google.cloud.language.v1.LanguageServiceClienttry(com.google.cloud.language.v1.LanguageServiceClientlanguage=com.google.cloud.language.v1.LanguageServiceClient.create()){com.google.cloud.language.v1.Documentdoc=com.google.cloud.language.v1.Document.newBuilder().setContent(text).setType(com.google.cloud.language.v1.Document.Type.PLAIN_TEXT).build();AnalyzeSyntaxRequestrequest=AnalyzeSyntaxRequest.newBuilder().setDocument(doc).setEncodingType(com.google.cloud.language.v1.EncodingType.UTF16).build();// Analyze the syntax in the given textAnalyzeSyntaxResponseresponse=language.analyzeSyntax(request);// Print the responsefor(Tokentoken:response.getTokensList()){System.out.printf("\tText: %s\n",token.getText().getContent());System.out.printf("\tBeginOffset: %d\n",token.getText().getBeginOffset());System.out.printf("Lemma: %s\n",token.getLemma());System.out.printf("PartOfSpeechTag: %s\n",token.getPartOfSpeech().getTag());System.out.printf("\tAspect: %s\n",token.getPartOfSpeech().getAspect());System.out.printf("\tCase: %s\n",token.getPartOfSpeech().getCase());System.out.printf("\tForm: %s\n",token.getPartOfSpeech().getForm());System.out.printf("\tGender: %s\n",token.getPartOfSpeech().getGender());System.out.printf("\tMood: %s\n",token.getPartOfSpeech().getMood());System.out.printf("\tNumber: %s\n",token.getPartOfSpeech().getNumber());System.out.printf("\tPerson: %s\n",token.getPartOfSpeech().getPerson());System.out.printf("\tProper: %s\n",token.getPartOfSpeech().getProper());System.out.printf("\tReciprocity: %s\n",token.getPartOfSpeech().getReciprocity());System.out.printf("\tTense: %s\n",token.getPartOfSpeech().getTense());System.out.printf("\tVoice: %s\n",token.getPartOfSpeech().getVoice());System.out.println("DependencyEdge");System.out.printf("\tHeadTokenIndex: %d\n",token.getDependencyEdge().getHeadTokenIndex());System.out.printf("\tLabel: %s\n\n",token.getDependencyEdge().getLabel());}returnresponse.getTokensList();}

// Imports the Google Cloud client libraryconstlanguage=require('@google-cloud/language');// Creates a clientconstclient=newlanguage.LanguageServiceClient();/** * TODO(developer): Uncomment the following line to run this code. */// const text = 'Your text to analyze, e.g. Hello, world!';// Prepares a document, representing the provided textconstdocument={content:text,type:'PLAIN_TEXT',};// Need to specify an encodingType to receive word offsetsconstencodingType='UTF8';// Detects the sentiment of the documentconst[syntax]=awaitclient.analyzeSyntax({document,encodingType});console.log('Tokens:');syntax.tokens.forEach(part=>{console.log(`${part.partOfSpeech.tag}:${part.text.content}`);console.log('Morphology:',part.partOfSpeech);});

fromgoogle.cloudimportlanguage_v1defsample_analyze_syntax(text_content):"""    Analyzing Syntax in a String    Args:      text_content The text content to analyze    """client=language_v1.LanguageServiceClient()# text_content = 'This is a short sentence.'# Available types: PLAIN_TEXT, HTMLtype_=language_v1.Document.Type.PLAIN_TEXT# Optional. If not specified, the language is automatically detected.# For list of supported languages:# https://cloud.google.com/natural-language/docs/languageslanguage="en"document={"content":text_content,"type_":type_,"language":language}# Available values: NONE, UTF8, UTF16, UTF32encoding_type=language_v1.EncodingType.UTF8response=client.analyze_syntax(request={"document":document,"encoding_type":encoding_type})# Loop through tokens returned from the APIfortokeninresponse.tokens:# Get the text content of this token. Usually a word or punctuation.text=token.textprint(f"Token text:{text.content}")print(f"Location of this token in overall document:{text.begin_offset}")# Get the part of speech information for this token.# Part of speech is defined in:# http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdfpart_of_speech=token.part_of_speech# Get the tag, e.g. NOUN, ADJ for Adjective, et al.print("Part of Speech tag:{}".format(language_v1.PartOfSpeech.Tag(part_of_speech.tag).name))# Get the voice, e.g. ACTIVE or PASSIVEprint("Voice:{}".format(language_v1.PartOfSpeech.Voice(part_of_speech.voice).name))# Get the tense, e.g. PAST, FUTURE, PRESENT, et al.print("Tense:{}".format(language_v1.PartOfSpeech.Tense(part_of_speech.tense).name))# See API reference for additional Part of Speech information available# Get the lemma of the token. Wikipedia lemma description# https://en.wikipedia.org/wiki/Lemma_(morphology)print(f"Lemma:{token.lemma}")# Get the dependency tree parse information for this token.# For more information on dependency labels:# http://www.aclweb.org/anthology/P13-2017dependency_edge=token.dependency_edgeprint(f"Head token index:{dependency_edge.head_token_index}")print("Label:{}".format(language_v1.DependencyEdge.Label(dependency_edge.label).name))# Get the language of the text, which will be the same as# the language specified in the request or, if not specified,# the automatically-detected language.print(f"Language of the text:{response.language}")

funcanalyzeSyntaxFromGCS(ctxcontext.Context,gcsURIstring)(*languagepb.AnnotateTextResponse,error){returnclient.AnnotateText(ctx,&languagepb.AnnotateTextRequest{Document:&languagepb.Document{Source:&languagepb.Document_GcsContentUri{GcsContentUri:gcsURI,},Type:languagepb.Document_PLAIN_TEXT,},Features:&languagepb.AnnotateTextRequest_Features{ExtractSyntax:true,},EncodingType:languagepb.EncodingType_UTF8,})}

// Instantiate the Language client com.google.cloud.language.v1.LanguageServiceClienttry(com.google.cloud.language.v1.LanguageServiceClientlanguage=com.google.cloud.language.v1.LanguageServiceClient.create()){com.google.cloud.language.v1.Documentdoc=com.google.cloud.language.v1.Document.newBuilder().setGcsContentUri(gcsUri).setType(com.google.cloud.language.v1.Document.Type.PLAIN_TEXT).build();AnalyzeSyntaxRequestrequest=AnalyzeSyntaxRequest.newBuilder().setDocument(doc).setEncodingType(com.google.cloud.language.v1.EncodingType.UTF16).build();// Analyze the syntax in the given textAnalyzeSyntaxResponseresponse=language.analyzeSyntax(request);// Print the responsefor(Tokentoken:response.getTokensList()){System.out.printf("\tText: %s\n",token.getText().getContent());System.out.printf("\tBeginOffset: %d\n",token.getText().getBeginOffset());System.out.printf("Lemma: %s\n",token.getLemma());System.out.printf("PartOfSpeechTag: %s\n",token.getPartOfSpeech().getTag());System.out.printf("\tAspect: %s\n",token.getPartOfSpeech().getAspect());System.out.printf("\tCase: %s\n",token.getPartOfSpeech().getCase());System.out.printf("\tForm: %s\n",token.getPartOfSpeech().getForm());System.out.printf("\tGender: %s\n",token.getPartOfSpeech().getGender());System.out.printf("\tMood: %s\n",token.getPartOfSpeech().getMood());System.out.printf("\tNumber: %s\n",token.getPartOfSpeech().getNumber());System.out.printf("\tPerson: %s\n",token.getPartOfSpeech().getPerson());System.out.printf("\tProper: %s\n",token.getPartOfSpeech().getProper());System.out.printf("\tReciprocity: %s\n",token.getPartOfSpeech().getReciprocity());System.out.printf("\tTense: %s\n",token.getPartOfSpeech().getTense());System.out.printf("\tVoice: %s\n",token.getPartOfSpeech().getVoice());System.out.println("DependencyEdge");System.out.printf("\tHeadTokenIndex: %d\n",token.getDependencyEdge().getHeadTokenIndex());System.out.printf("\tLabel: %s\n\n",token.getDependencyEdge().getLabel());}returnresponse.getTokensList();}

// Imports the Google Cloud client libraryconstlanguage=require('@google-cloud/language');// Creates a clientconstclient=newlanguage.LanguageServiceClient();/** * TODO(developer): Uncomment the following lines to run this code */// const bucketName = 'Your bucket name, e.g. my-bucket';// const fileName = 'Your file name, e.g. my-file.txt';// Prepares a document, representing a text file in Cloud Storageconstdocument={gcsContentUri:`gs://${bucketName}/${fileName}`,type:'PLAIN_TEXT',};// Need to specify an encodingType to receive word offsetsconstencodingType='UTF8';// Detects the sentiment of the documentconst[syntax]=awaitclient.analyzeSyntax({document,encodingType});console.log('Parts of speech:');syntax.tokens.forEach(part=>{console.log(`${part.partOfSpeech.tag}:${part.text.content}`);console.log('Morphology:',part.partOfSpeech);});

fromgoogle.cloudimportlanguage_v1defsample_analyze_syntax(gcs_content_uri):"""    Analyzing Syntax in text file stored in Cloud Storage    Args:      gcs_content_uri Google Cloud Storage URI where the file content is located.      e.g. gs://[Your Bucket]/[Path to File]    """client=language_v1.LanguageServiceClient()# gcs_content_uri = 'gs://cloud-samples-data/language/syntax-sentence.txt'# Available types: PLAIN_TEXT, HTMLtype_=language_v1.Document.Type.PLAIN_TEXT# Optional. If not specified, the language is automatically detected.# For list of supported languages:# https://cloud.google.com/natural-language/docs/languageslanguage="en"document={"gcs_content_uri":gcs_content_uri,"type_":type_,"language":language,}# Available values: NONE, UTF8, UTF16, UTF32encoding_type=language_v1.EncodingType.UTF8response=client.analyze_syntax(request={"document":document,"encoding_type":encoding_type})# Loop through tokens returned from the APIfortokeninresponse.tokens:# Get the text content of this token. Usually a word or punctuation.text=token.textprint(f"Token text:{text.content}")print(f"Location of this token in overall document:{text.begin_offset}")# Get the part of speech information for this token.# Part of speech is defined in:# http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdfpart_of_speech=token.part_of_speech# Get the tag, e.g. NOUN, ADJ for Adjective, et al.print("Part of Speech tag:{}".format(language_v1.PartOfSpeech.Tag(part_of_speech.tag).name))# Get the voice, e.g. ACTIVE or PASSIVEprint("Voice:{}".format(language_v1.PartOfSpeech.Voice(part_of_speech.voice).name))# Get the tense, e.g. PAST, FUTURE, PRESENT, et al.print("Tense:{}".format(language_v1.PartOfSpeech.Tense(part_of_speech.tense).name))# See API reference for additional Part of Speech information available# Get the lemma of the token. Wikipedia lemma description# https://en.wikipedia.org/wiki/Lemma_(morphology)print(f"Lemma:{token.lemma}")# Get the dependency tree parse information for this token.# For more information on dependency labels:# http://www.aclweb.org/anthology/P13-2017dependency_edge=token.dependency_edgeprint(f"Head token index:{dependency_edge.head_token_index}")print("Label:{}".format(language_v1.DependencyEdge.Label(dependency_edge.label).name))# Get the language of the text, which will be the same as# the language specified in the request or, if not specified,# the automatically-detected language.print(f"Language of the text:{response.language}")