[ aws . transcribe ]

get-medical-vocabulary

Description

Provides information about the specified custom medical vocabulary.

To view the status of the specified medical vocabulary, check the VocabularyState field. If the status is READY , your vocabulary is available to use. If the status is FAILED , FailureReason provides details on why your vocabulary failed.

To get a list of your custom medical vocabularies, use the operation.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  get-medical-vocabulary
--vocabulary-name <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--vocabulary-name (string)

The name of the custom medical vocabulary you want information about. Vocabulary names are case sensitive.

--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. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To get information about a medical custom vocabulary

The following get-medical-vocabulary example gets information on a medical custom vocabulary. You can use the VocabularyState parameter to see the processing state of the vocabulary. If it’s READY, you can use it in the StartMedicalTranscriptionJob operation.:

aws transcribe get-medical-vocabulary \
    --vocabulary-name medical-vocab-example

Output:

{
    "VocabularyName": "medical-vocab-example",
    "LanguageCode": "en-US",
    "VocabularyState": "READY",
    "LastModifiedTime": "2020-09-19T23:59:04.349000+00:00",
    "DownloadUri": "https://link-to-download-the-text-file-used-to-create-your-medical-custom-vocabulary"
}

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

Output

VocabularyName -> (string)

The name of the custom medical vocabulary you requested information about.

LanguageCode -> (string)

The language code you selected for your medical vocabulary. US English (en-US ) is the only language supported with Amazon Transcribe Medical.

VocabularyState -> (string)

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

LastModifiedTime -> (timestamp)

The date and time the specified custom medical vocabulary was last modified.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC . For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

FailureReason -> (string)

If VocabularyState is FAILED , FailureReason contains information about why the medical vocabulary request failed. See also: Common Errors .

DownloadUri -> (string)

The S3 location where the specified medical vocabulary is stored; use this URI to view or download the vocabulary.