CreateMedicalVocabulary - Amazon Transcribe

CreateMedicalVocabulary

Creates a new custom vocabulary that you can use to change how Amazon Transcribe Medical transcribes your audio file.

Request Syntax

{ "LanguageCode": "string", "VocabularyFileUri": "string", "VocabularyName": "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.

LanguageCode

The language code for the language used for the entries in your custom vocabulary. The language code of your custom vocabulary must match the language code of your transcription job. US English (en-US) is the only language code available for Amazon Transcribe Medical.

Type: String

Valid Values: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN

Required: Yes

VocabularyFileUri

The location in Amazon S3 of the text file you use to define your custom vocabulary. The URI must be in the same AWS Region as the resource that you're calling. Enter information about your VocabularyFileUri in the following format:

https://s3.<aws-region>.amazonaws.com/<bucket-name>/<keyprefix>/<objectkey>

The following is an example URI for a vocabulary file that is stored in Amazon S3:

https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt

For more information about Amazon S3 object names, see Object Keys in the Amazon S3 Developer Guide.

For more information about custom vocabularies, see Medical Custom Vocabularies.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 2000.

Pattern: (s3://|http(s*)://).+

Required: Yes

VocabularyName

The name of the custom vocabulary. This case-sensitive name must be unique within an AWS account. If you try to create a vocabulary with the same name as a previous vocabulary, you get a ConflictException error.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z._-]+

Required: Yes

Response Syntax

{ "FailureReason": "string", "LanguageCode": "string", "LastModifiedTime": number, "VocabularyName": "string", "VocabularyState": "string" }

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.

FailureReason

If the VocabularyState field is FAILED, this field contains information about why the job failed.

Type: String

LanguageCode

The language code for the entries in your custom vocabulary. US English (en-US) is the only valid language code for Amazon Transcribe Medical.

Type: String

Valid Values: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN

LastModifiedTime

The date and time that you created the vocabulary.

Type: Timestamp

VocabularyName

The name of the vocabulary. The name must be unique within an AWS account and is case sensitive.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z._-]+

VocabularyState

The processing state of your custom vocabulary in Amazon Transcribe Medical. If the state is READY, you can use the vocabulary in a StartMedicalTranscriptionJob request.

Type: String

Valid Values: PENDING | READY | FAILED

Errors

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

BadRequestException

Your request didn't pass one or more validation tests. For example, if the entity that you're trying to delete doesn't exist or if it is in a non-terminal state (for example, it's "in progress"). See the exception Message field for more information.

HTTP Status Code: 400

ConflictException

There is already a resource with that name.

HTTP Status Code: 400

InternalFailureException

There was an internal error. Check the error message and try your request again.

HTTP Status Code: 500

LimitExceededException

Either you have sent too many requests or your input file is too long. Wait before you resend your request, or use a smaller file and resend the request.

HTTP Status Code: 400

See Also

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