name : detect-syntax.rst **To detect the parts of speech in an input text** The following ``detect-syntax`` example analyzes the syntax of the input text and returns the different parts of speech. The pre-trained model's confidence score is also output for each prediction. :: aws comprehend detect-syntax \ --language-code en \ --text "It is a beautiful day in Seattle." Output:: { "SyntaxTokens": [ { "TokenId": 1, "Text": "It", "BeginOffset": 0, "EndOffset": 2, "PartOfSpeech": { "Tag": "PRON", "Score": 0.9999740719795227 } }, { "TokenId": 2, "Text": "is", "BeginOffset": 3, "EndOffset": 5, "PartOfSpeech": { "Tag": "VERB", "Score": 0.999901294708252 } }, { "TokenId": 3, "Text": "a", "BeginOffset": 6, "EndOffset": 7, "PartOfSpeech": { "Tag": "DET", "Score": 0.9999938607215881 } }, { "TokenId": 4, "Text": "beautiful", "BeginOffset": 8, "EndOffset": 17, "PartOfSpeech": { "Tag": "ADJ", "Score": 0.9987351894378662 } }, { "TokenId": 5, "Text": "day", "BeginOffset": 18, "EndOffset": 21, "PartOfSpeech": { "Tag": "NOUN", "Score": 0.9999796748161316 } }, { "TokenId": 6, "Text": "in", "BeginOffset": 22, "EndOffset": 24, "PartOfSpeech": { "Tag": "ADP", "Score": 0.9998047947883606 } }, { "TokenId": 7, "Text": "Seattle", "BeginOffset": 25, "EndOffset": 32, "PartOfSpeech": { "Tag": "PROPN", "Score": 0.9940530061721802 } } ] } For more information, see `Syntax Analysis <https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.html>`__ in the *Amazon Comprehend Developer Guide*.