[ aws . transcribe ]

update-vocabulary-filter

Description

Updates an existing custom vocabulary filter with a new list of words. The new list you provide overwrites all previous entries; you cannot append new terms onto an existing vocabulary filter.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  update-vocabulary-filter
--vocabulary-filter-name <value>
[--words <value>]
[--vocabulary-filter-file-uri <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--vocabulary-filter-name (string)

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

--words (list)

Use this parameter if you want to update your vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for updating your vocabulary filter 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 VocabularyFilterFileUri parameter.

Note that if you include Words in your request, you cannot use VocabularyFilterFileUri ; 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-filter-file-uri (string)

The Amazon S3 location of the text file that contains your custom vocabulary filter terms. 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-filter-file.txt

Note that if you include VocabularyFilterFileUri in your request, you cannot use Words ; 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. 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 replace the words in a vocabulary filter

The following update-vocabulary-filter example replaces the words in a vocabulary filter with new ones. Prerequisite: To update a vocabulary filter with the new words, you must have those words saved as a text file.

aws transcribe update-vocabulary-filter \
    --vocabulary-filter-file-uri s3://DOC-EXAMPLE-BUCKET/Amazon-S3-Prefix/your-text-file-to-update-your-vocabulary-filter.txt \
    --vocabulary-filter-name vocabulary-filter-name

Output:

{
    "VocabularyFilterName": "vocabulary-filter-name",
    "LanguageCode": "language-code",
    "LastModifiedTime": "2020-09-23T18:40:35.139000+00:00"
}

For more information, see Filtering Unwanted Words in the Amazon Transcribe Developer Guide.

Output

VocabularyFilterName -> (string)

The name of the updated custom vocabulary filter.

LanguageCode -> (string)

The language code you selected for your vocabulary filter.

LastModifiedTime -> (timestamp)

The date and time the specified vocabulary filter 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.