aws transcribe create-medical-vocabulary

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

Options

NameDescription
--vocabulary-name <string>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
--language-code <string>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
--vocabulary-file-uri <string>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.&lt;aws-region&gt;.amazonaws.com/&lt;bucket-name&gt;/&lt;keyprefix&gt;/&lt;objectkey&gt; 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
--cli-input-json <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI 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
--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``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command