Create Vocabulary Filter

transcribeservice_create_vocabulary_filter

R Documentation

Creates a new custom vocabulary filter

Description

Creates a new custom vocabulary filter.

You can use custom vocabulary filters to mask, delete, or flag specific words from your transcript. Custom vocabulary filters are commonly used to mask profanity in transcripts.

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

For more information, see Vocabulary filtering.

Usage

transcribeservice_create_vocabulary_filter(VocabularyFilterName,
  LanguageCode, Words, VocabularyFilterFileUri, Tags, DataAccessRoleArn)

Arguments

VocabularyFilterName	[required] A unique name, chosen by you, for your new custom vocabulary filter. 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 vocabulary filter with the same name as an existing custom vocabulary filter, you get a ConflictException error.
LanguageCode	[required] The language code that represents the language of the entries in your vocabulary filter. Each custom vocabulary filter must contain terms in only one language. A custom vocabulary filter can only be used to transcribe files in the same language as the filter. For example, if you create a custom vocabulary filter using US English (en-US), you can only apply this filter to files that contain English audio. For a list of supported languages and their associated language codes, refer to the Supported languages table.
Words	Use this parameter if you want to create your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for creating 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 custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
VocabularyFilterFileUri	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.
Tags	Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary filter at the time you create this new vocabulary filter. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
DataAccessRoleArn	The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: ⁠arn:aws:iam::111122223333:role/Admin⁠. For more information, see IAM ARNs.

Value

A list with the following syntax:

list(
  VocabularyFilterName = "string",
  LanguageCode = "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",
  LastModifiedTime = as.POSIXct(
    "2015-01-01"
  )
)

Request syntax

svc$create_vocabulary_filter(
  VocabularyFilterName = "string",
  LanguageCode = "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",
  Words = list(
    "string"
  ),
  VocabularyFilterFileUri = "string",
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  ),
  DataAccessRoleArn = "string"
)