DetectSyntax - Amazon Comprehend API Reference


Inspects text for syntax and the part of speech of words in the document. For more information, see Syntax in the Comprehend Developer Guide.

Request Syntax

{ "LanguageCode": "string", "Text": "string" }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.


The language code of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German ("de"), English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), or Portuguese ("pt").

Type: String

Valid Values: en | es | fr | de | it | pt

Required: Yes


A UTF-8 string. The maximum string size is 5 KB.

Type: String

Length Constraints: Minimum length of 1.

Required: Yes

Response Syntax

{ "SyntaxTokens": [ { "BeginOffset": number, "EndOffset": number, "PartOfSpeech": { "Score": number, "Tag": "string" }, "Text": "string", "TokenId": number } ] }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.


A collection of syntax tokens describing the text. For each token, the response provides the text, the token type, where the text begins and ends, and the level of confidence that Amazon Comprehend has that the token is correct. For a list of token types, see Syntax in the Comprehend Developer Guide.

Type: Array of SyntaxToken objects


For information about the errors that are common to all actions, see Common Errors.


An internal server error occurred. Retry your request.

HTTP Status Code: 500


The request is invalid.

HTTP Status Code: 400


The size of the input text exceeds the limit. Use a smaller document.

HTTP Status Code: 400


Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: