#[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
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§
Source§impl StartTextTranslationJobInput
impl StartTextTranslationJobInput
Sourcepub fn input_data_config(&self) -> Option<&InputDataConfig>
pub fn input_data_config(&self) -> Option<&InputDataConfig>
Specifies the format and location of the input documents for the translation job.
Sourcepub fn output_data_config(&self) -> Option<&OutputDataConfig>
pub fn output_data_config(&self) -> Option<&OutputDataConfig>
Specifies the S3 folder to which your job output will be saved.
Sourcepub fn data_access_role_arn(&self) -> Option<&str>
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 .
Sourcepub fn source_language_code(&self) -> Option<&str>
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.
Sourcepub fn target_language_codes(&self) -> &[String]
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()
.
Sourcepub fn terminology_names(&self) -> &[String]
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()
.
Sourcepub fn parallel_data_names(&self) -> &[String]
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()
.
Sourcepub fn client_token(&self) -> Option<&str>
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.
Sourcepub fn settings(&self) -> Option<&TranslationSettings>
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.
Source§impl StartTextTranslationJobInput
impl StartTextTranslationJobInput
Sourcepub fn builder() -> StartTextTranslationJobInputBuilder
pub fn builder() -> StartTextTranslationJobInputBuilder
Creates a new builder-style object to manufacture StartTextTranslationJobInput
.
Trait Implementations§
Source§impl Clone for StartTextTranslationJobInput
impl Clone for StartTextTranslationJobInput
Source§fn clone(&self) -> StartTextTranslationJobInput
fn clone(&self) -> StartTextTranslationJobInput
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl Debug for StartTextTranslationJobInput
impl Debug for StartTextTranslationJobInput
Source§impl PartialEq for StartTextTranslationJobInput
impl PartialEq for StartTextTranslationJobInput
Source§fn eq(&self, other: &StartTextTranslationJobInput) -> bool
fn eq(&self, other: &StartTextTranslationJobInput) -> bool
self
and other
values to be equal, and is used by ==
.impl StructuralPartialEq for StartTextTranslationJobInput
Auto Trait Implementations§
impl Freeze for StartTextTranslationJobInput
impl RefUnwindSafe for StartTextTranslationJobInput
impl Send for StartTextTranslationJobInput
impl Sync for StartTextTranslationJobInput
impl Unpin for StartTextTranslationJobInput
impl UnwindSafe for StartTextTranslationJobInput
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