Class: Aws::TranscribeService::Types::LanguageIdSettings

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-transcribeservice/lib/aws-sdk-transcribeservice/types.rb

Overview

If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName). Note that multi-language identification (IdentifyMultipleLanguages) doesn't support custom language models.

LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.

It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription.

If you want to include a custom language model with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName sub-parameter. If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use instead the parameter with the VocabularyName or VocabularyFilterName (or both) sub-parameter.</p>

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#language_model_nameString

The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.

The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages don't match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.

Returns:

  • (String)


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# File 'gems/aws-sdk-transcribeservice/lib/aws-sdk-transcribeservice/types.rb', line 1793

class LanguageIdSettings < Struct.new(
  :vocabulary_name,
  :vocabulary_filter_name,
  :language_model_name)
  SENSITIVE = []
  include Aws::Structure
end

#vocabulary_filter_nameString

The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.

The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages don't match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

Returns:

  • (String)


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# File 'gems/aws-sdk-transcribeservice/lib/aws-sdk-transcribeservice/types.rb', line 1793

class LanguageIdSettings < Struct.new(
  :vocabulary_name,
  :vocabulary_filter_name,
  :language_model_name)
  SENSITIVE = []
  include Aws::Structure
end

#vocabulary_nameString

The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.

The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages don't match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.

Returns:

  • (String)


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# File 'gems/aws-sdk-transcribeservice/lib/aws-sdk-transcribeservice/types.rb', line 1793

class LanguageIdSettings < Struct.new(
  :vocabulary_name,
  :vocabulary_filter_name,
  :language_model_name)
  SENSITIVE = []
  include Aws::Structure
end