Analyzing Syntax

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.LanguageServiceClient
try(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 text
AnalyzeSyntaxResponseresponse=language.analyzeSyntax(request);
// Print the response
for(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 library
constlanguage=require('@google-cloud/language');
// Creates a client
constclient=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 text
constdocument={
content:text,
type:'PLAIN_TEXT',
};
// Need to specify an encodingType to receive word offsets
constencodingType='UTF8';
// Detects the sentiment of the document
const[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.cloudimport language_v1
defsample_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, HTML
 type_ = 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/languages
 language = "en"
 document = {"content": text_content, "type_": type_, "language": language}
 # Available values: NONE, UTF8, UTF16, UTF32
 encoding_type = language_v1.EncodingType.UTF8
 response = client.analyze_syntax (
 request={"document": document, "encoding_type": encoding_type}
 )
 # Loop through tokens returned from the API
 for token in response.tokens:
 # Get the text content of this token. Usually a word or punctuation.
 text = token.text
 print(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.pdf
 part_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 PASSIVE
 print(
 "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/P13-2017
 dependency_edge = token.dependency_edge
 print(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.LanguageServiceClient
try(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 text
AnalyzeSyntaxResponseresponse=language.analyzeSyntax(request);
// Print the response
for(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 library
constlanguage=require('@google-cloud/language');
// Creates a client
constclient=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 Storage
constdocument={
gcsContentUri:`gs://${bucketName}/${fileName}`,
type:'PLAIN_TEXT',
};
// Need to specify an encodingType to receive word offsets
constencodingType='UTF8';
// Detects the sentiment of the document
const[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.cloudimport language_v1
defsample_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, HTML
 type_ = 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/languages
 language = "en"
 document = {
 "gcs_content_uri": gcs_content_uri,
 "type_": type_,
 "language": language,
 }
 # Available values: NONE, UTF8, UTF16, UTF32
 encoding_type = language_v1.EncodingType.UTF8
 response = client.analyze_syntax (
 request={"document": document, "encoding_type": encoding_type}
 )
 # Loop through tokens returned from the API
 for token in response.tokens:
 # Get the text content of this token. Usually a word or punctuation.
 text = token.text
 print(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.pdf
 part_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 PASSIVE
 print(
 "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/P13-2017
 dependency_edge = token.dependency_edge
 print(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}")