[ aws . transcribe ]

update-medical-vocabulary

Description

Updates a vocabulary with new values that you provide in a different text file from the one you used to create the vocabulary. The UpdateMedicalVocabulary operation overwrites all of the existing information with the values that you provide in the request.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  update-medical-vocabulary
--vocabulary-name <value>
--language-code <value>
[--vocabulary-file-uri <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--vocabulary-name (string)

The name of the vocabulary to update. The name is case sensitive. If you try to update a vocabulary with the same name as a vocabulary you’ve already made, you get a ConflictException error.

--language-code (string)

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

Possible 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

• zh-TW

• th-TH

• en-ZA

• en-NZ

--vocabulary-file-uri (string)

The location in Amazon S3 of the text file that contains your custom vocabulary. The URI must be in the same Amazon Web Services Region as the resource that you are calling. The following is the format for a URI:

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

For example:

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 in Amazon Transcribe Medical, see Medical Custom Vocabularies .

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Examples

To update a medical custom vocabulary with new terms.

The following update-medical-vocabulary example replaces the terms used in a medical custom vocabulary with the new ones. Prerequisite: to replace the terms in a medical custom vocabulary, you need a file with new terms.

aws transcribe update-medical-vocabulary \
    --vocabulary-file-uri s3://DOC-EXAMPLE-BUCKET/Amazon-S3-Prefix/medical-custom-vocabulary.txt \
    --vocabulary-name medical-custom-vocabulary \
    --language-code language

Output:

{
    "VocabularyName": "medical-custom-vocabulary",
    "LanguageCode": "en-US",
    "VocabularyState": "PENDING"
}

For more information, see Medical Custom Vocabularies in the Amazon Transcribe Developer Guide.

Output

VocabularyName -> (string)

The name of the updated vocabulary.

LanguageCode -> (string)

The language code for the language of the text file used to update the custom vocabulary. US English (en-US) is the only language supported in Amazon Transcribe Medical.

LastModifiedTime -> (timestamp)

The date and time that the vocabulary was updated.

VocabularyState -> (string)

The processing state of the update to the vocabulary. When the VocabularyState field is READY , the vocabulary is ready to be used in a StartMedicalTranscriptionJob request.