StartTextTranslationJobInput

Struct StartTextTranslationJobInput 

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#[non_exhaustive]
pub struct StartTextTranslationJobInput { pub job_name: Option<String>, pub input_data_config: Option<InputDataConfig>, pub output_data_config: Option<OutputDataConfig>, pub data_access_role_arn: Option<String>, pub source_language_code: Option<String>, pub target_language_codes: Option<Vec<String>>, pub terminology_names: Option<Vec<String>>, pub parallel_data_names: Option<Vec<String>>, pub client_token: Option<String>, pub settings: Option<TranslationSettings>, }

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§job_name: Option<String>

The name of the batch translation job to be performed.

§input_data_config: Option<InputDataConfig>

Specifies the format and location of the input documents for the translation job.

§output_data_config: Option<OutputDataConfig>

Specifies the S3 folder to which your job output will be saved.

§data_access_role_arn: Option<String>

The Amazon Resource Name (ARN) of an AWS Identity Access and Management (IAM) role that grants Amazon Translate read access to your input data. For more information, see Identity and access management .

§source_language_code: Option<String>

The language code of the input language. Specify the language if all input documents share the same language. If you don't know the language of the source files, or your input documents contains different source languages, select auto. Amazon Translate auto detects the source language for each input document. For a list of supported language codes, see Supported languages.

§target_language_codes: Option<Vec<String>>

The target languages of the translation job. Enter up to 10 language codes. Each input file is translated into each target language.

Each language code is 2 or 5 characters long. For a list of language codes, see Supported languages.

§terminology_names: Option<Vec<String>>

The name of a custom terminology resource to add to the translation job. This resource lists examples source terms and the desired translation for each term.

This parameter accepts only one custom terminology resource.

If you specify multiple target languages for the job, translate uses the designated terminology for each requested target language that has an entry for the source term in the terminology file.

For a list of available custom terminology resources, use the ListTerminologies operation.

For more information, see Custom terminology.

§parallel_data_names: Option<Vec<String>>

The name of a parallel data resource to add to the translation job. This resource consists of examples that show how you want segments of text to be translated. If you specify multiple target languages for the job, the parallel data file must include translations for all the target languages.

When you add parallel data to a translation job, you create an Active Custom Translation job.

This parameter accepts only one parallel data resource.

Active Custom Translation jobs are priced at a higher rate than other jobs that don't use parallel data. For more information, see Amazon Translate pricing.

For a list of available parallel data resources, use the ListParallelData operation.

For more information, see Customizing your translations with parallel data.

§client_token: Option<String>

A unique identifier for the request. This token is generated for you when using the Amazon Translate SDK.

§settings: Option<TranslationSettings>

Settings to configure your translation output. You can configure the following options:

  • Brevity: not supported.

  • Formality: sets the formality level of the output text.

  • Profanity: masks profane words and phrases in your translation output.

Implementations§

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impl StartTextTranslationJobInput

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pub fn job_name(&self) -> Option<&str>

The name of the batch translation job to be performed.

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pub fn input_data_config(&self) -> Option<&InputDataConfig>

Specifies the format and location of the input documents for the translation job.

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pub fn output_data_config(&self) -> Option<&OutputDataConfig>

Specifies the S3 folder to which your job output will be saved.

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pub fn data_access_role_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of an AWS Identity Access and Management (IAM) role that grants Amazon Translate read access to your input data. For more information, see Identity and access management .

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pub fn source_language_code(&self) -> Option<&str>

The language code of the input language. Specify the language if all input documents share the same language. If you don't know the language of the source files, or your input documents contains different source languages, select auto. Amazon Translate auto detects the source language for each input document. For a list of supported language codes, see Supported languages.

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pub fn target_language_codes(&self) -> &[String]

The target languages of the translation job. Enter up to 10 language codes. Each input file is translated into each target language.

Each language code is 2 or 5 characters long. For a list of language codes, see Supported languages.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .target_language_codes.is_none().

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pub fn terminology_names(&self) -> &[String]

The name of a custom terminology resource to add to the translation job. This resource lists examples source terms and the desired translation for each term.

This parameter accepts only one custom terminology resource.

If you specify multiple target languages for the job, translate uses the designated terminology for each requested target language that has an entry for the source term in the terminology file.

For a list of available custom terminology resources, use the ListTerminologies operation.

For more information, see Custom terminology.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .terminology_names.is_none().

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pub fn parallel_data_names(&self) -> &[String]

The name of a parallel data resource to add to the translation job. This resource consists of examples that show how you want segments of text to be translated. If you specify multiple target languages for the job, the parallel data file must include translations for all the target languages.

When you add parallel data to a translation job, you create an Active Custom Translation job.

This parameter accepts only one parallel data resource.

Active Custom Translation jobs are priced at a higher rate than other jobs that don't use parallel data. For more information, see Amazon Translate pricing.

For a list of available parallel data resources, use the ListParallelData operation.

For more information, see Customizing your translations with parallel data.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .parallel_data_names.is_none().

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pub fn client_token(&self) -> Option<&str>

A unique identifier for the request. This token is generated for you when using the Amazon Translate SDK.

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pub fn settings(&self) -> Option<&TranslationSettings>

Settings to configure your translation output. You can configure the following options:

  • Brevity: not supported.

  • Formality: sets the formality level of the output text.

  • Profanity: masks profane words and phrases in your translation output.

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impl StartTextTranslationJobInput

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pub fn builder() -> StartTextTranslationJobInputBuilder

Creates a new builder-style object to manufacture StartTextTranslationJobInput.

Trait Implementations§

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impl Clone for StartTextTranslationJobInput

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fn clone(&self) -> StartTextTranslationJobInput

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for StartTextTranslationJobInput

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for StartTextTranslationJobInput

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fn eq(&self, other: &StartTextTranslationJobInput) -> bool

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for StartTextTranslationJobInput

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