[ aws . transcribe ]

update-vocabulary

Description

Updates an existing custom vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing vocabulary.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

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

Options

--vocabulary-name (string)

The name of the custom vocabulary you want to update. Vocabulary names are case sensitive.

--language-code (string)

The language code that represents the language of the entries in the custom vocabulary you want to update. Each vocabulary must contain terms in only one language.

A custom vocabulary can only be used to transcribe files in the same language as the vocabulary. For example, if you create a vocabulary using US English (en-US ), you can only apply this vocabulary to files that contain English audio.

For a list of supported languages and their associated language codes, refer to the Supported languages table.

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

--phrases (list)

Use this parameter if you want to update your vocabulary by including all desired terms, as comma-separated values, within your request. The other option for updating your vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFileUri parameter.

Note that if you include Phrases in your request, you cannot use VocabularyFileUri ; you must choose one or the other.

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

(string)

Syntax:

"string" "string" ...

--vocabulary-file-uri (string)

The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located 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

Note that if you include VocabularyFileUri in your request, you cannot use the Phrases flag; you must choose one or the other.

--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

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 update a custom vocabulary with new terms.

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

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

Output:

{
    "VocabularyName": "custom-vocabulary",
    "LanguageCode": "language",
    "VocabularyState": "PENDING"
}

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

Output

VocabularyName -> (string)

The name of the updated custom vocabulary.

LanguageCode -> (string)

The language code you selected for your custom vocabulary.

LastModifiedTime -> (timestamp)

The date and time the specified vocabulary was last updated.

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.

VocabularyState -> (string)

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