create-medical-vocabulary¶

Description¶

Creates a new custom medical vocabulary.

Before creating a new custom medical vocabulary, you must first upload a text file that contains your vocabulary table into an Amazon S3 bucket. Note that this differs from , where you can include a list of terms within your request using the Phrases flag; CreateMedicalVocabulary does not support the Phrases flag and only accepts vocabularies in table format.

Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.

For more information, see Custom vocabularies .

Synopsis¶

  create-medical-vocabulary
--vocabulary-name <value>
--language-code <value>
--vocabulary-file-uri <value>
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options¶

--vocabulary-name (string)

A unique name, chosen by you, for your new custom medical vocabulary.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom medical vocabulary with the same name as an existing custom medical vocabulary, you get a ConflictException error.

--language-code (string)

The language code that represents the language of the entries in your custom vocabulary. US English (en-US ) is the only language supported with Amazon Transcribe Medical.

Possible values:

af-ZA

ar-AE

ar-SA

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

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

vi-VN

sv-SE

ab-GE

ast-ES

az-AZ

ba-RU

be-BY

bg-BG

bn-IN

bs-BA

ca-ES

ckb-IQ

ckb-IR

cs-CZ

cy-WL

el-GR

et-ET

eu-ES

fi-FI

gl-ES

gu-IN

ha-NG

hr-HR

hu-HU

hy-AM

is-IS

ka-GE

kab-DZ

kk-KZ

kn-IN

ky-KG

lg-IN

lt-LT

lv-LV

mhr-RU

mi-NZ

mk-MK

ml-IN

mn-MN

mr-IN

mt-MT

no-NO

or-IN

pa-IN

pl-PL

ps-AF

ro-RO

rw-RW

si-LK

sk-SK

sl-SI

so-SO

sr-RS

su-ID

sw-BI

sw-KE

sw-RW

sw-TZ

sw-UG

tl-PH

tt-RU

ug-CN

uk-UA

uz-UZ

wo-SN

zu-ZA

--vocabulary-file-uri (string)

The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in the same Amazon Web Services Region as the resource you’re calling.

Here’s an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt

--tags (list)

Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the time you create this new custom vocabulary.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources .

(structure)

Adds metadata, in the form of a key:value pair, to the specified resource.

For example, you could add the tag Department:Sales to a resource to indicate that it pertains to your organization’s sales department. You can also use tags for tag-based access control.

To learn more about tagging, see Tagging resources .

Key -> (string)

The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales , the key is ‘Department’.

Value -> (string)

The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales , the value is ‘Sales’.

Note that you can set the value of a tag to an empty string, but you can’t set the value of a tag to null. Omitting the tag value is the same as using an empty string.

Shorthand Syntax:

Key=string,Value=string ...

JSON Syntax:

[
  {
    "Key": "string",
    "Value": "string"
  }
  ...
]

--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.

Global Options¶

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

json
text
table
yaml
yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

on
off
auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

base64
raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input 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 create a medical custom vocabulary

The following create-medical-vocabulary example creates a custom vocabulary. To create a custom vocabulary, you must have created a text file with all the terms that you want to transcribe more accurately. For vocabulary-file-uri, specify the Amazon Simple Storage Service (Amazon S3) URI of that text file. For language-code, specify a language code corresponding to the language of your custom vocabulary. For vocabulary-name, specify what you want to call your custom vocabulary.

aws transcribe create-medical-vocabulary \
    --vocabulary-name cli-medical-vocab-example \
    --language-code language-code \
    --vocabulary-file-uri https://DOC-EXAMPLE-BUCKET.AWS-Region.amazonaws.com/the-text-file-for-the-medical-custom-vocabulary.txt

Output:

{
    "VocabularyName": "cli-medical-vocab-example",
    "LanguageCode": "language-code",
    "VocabularyState": "PENDING"
}

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

Output¶

VocabularyName -> (string)

The name you chose for your custom medical vocabulary.

LanguageCode -> (string)

The language code you selected for your custom 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 custom vocabulary in a StartMedicalTranscriptionJob request.

LastModifiedTime -> (timestamp)

The date and time you created your custom medical vocabulary.

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 transcription job request failed. See also: Common Errors .

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