Class: Aws::TranscribeService::Types::LanguageIdSettings
- Inherits:
-
Struct
- Object
- Struct
- Aws::TranscribeService::Types::LanguageIdSettings
- Includes:
- Structure
- Defined in:
- 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
-
#language_model_name ⇒ String
The name of the custom language model you want to use when processing your transcription job.
-
#vocabulary_filter_name ⇒ String
The name of the custom vocabulary filter you want to use when processing your transcription job.
-
#vocabulary_name ⇒ String
The name of the custom vocabulary you want to use when processing your transcription job.
Instance Attribute Details
#language_model_name ⇒ String
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 do not match, the custom language model isn’t applied. There are no errors or warnings associated with a language mismatch.
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# File 'lib/aws-sdk-transcribeservice/types.rb', line 1947 class LanguageIdSettings < Struct.new( :vocabulary_name, :vocabulary_filter_name, :language_model_name) SENSITIVE = [] include Aws::Structure end |
#vocabulary_filter_name ⇒ String
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 do not 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`.
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# File 'lib/aws-sdk-transcribeservice/types.rb', line 1947 class LanguageIdSettings < Struct.new( :vocabulary_name, :vocabulary_filter_name, :language_model_name) SENSITIVE = [] include Aws::Structure end |
#vocabulary_name ⇒ String
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 do not match, the custom vocabulary isn’t applied. There are no errors or warnings associated with a language mismatch.
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# File 'lib/aws-sdk-transcribeservice/types.rb', line 1947 class LanguageIdSettings < Struct.new( :vocabulary_name, :vocabulary_filter_name, :language_model_name) SENSITIVE = [] include Aws::Structure end |