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Translate

Table of Contents

Client

class Translate.Client

A low-level client representing Amazon Translate:

import boto3

client = boto3.client('translate')

These are the available methods:

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Returns
True if the operation can be paginated, False otherwise.
delete_terminology(**kwargs)

A synchronous action that deletes a custom terminology.

See also: AWS API Documentation

Request Syntax

response = client.delete_terminology(
    Name='string'
)
Parameters
Name (string) --

[REQUIRED]

The name of the custom terminology being deleted.

Returns
None
describe_text_translation_job(**kwargs)

Gets the properties associated with an asycnhronous batch translation job including name, ID, status, source and target languages, input/output S3 buckets, and so on.

See also: AWS API Documentation

Request Syntax

response = client.describe_text_translation_job(
    JobId='string'
)
Parameters
JobId (string) --

[REQUIRED]

The identifier that Amazon Translate generated for the job. The StartTextTranslationJob operation returns this identifier in its response.

Return type
dict
Returns
Response Syntax
{
    'TextTranslationJobProperties': {
        'JobId': 'string',
        'JobName': 'string',
        'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'COMPLETED_WITH_ERROR'|'FAILED'|'STOP_REQUESTED'|'STOPPED',
        'JobDetails': {
            'TranslatedDocumentsCount': 123,
            'DocumentsWithErrorsCount': 123,
            'InputDocumentsCount': 123
        },
        'SourceLanguageCode': 'string',
        'TargetLanguageCodes': [
            'string',
        ],
        'TerminologyNames': [
            'string',
        ],
        'Message': 'string',
        'SubmittedTime': datetime(2015, 1, 1),
        'EndTime': datetime(2015, 1, 1),
        'InputDataConfig': {
            'S3Uri': 'string',
            'ContentType': 'string'
        },
        'OutputDataConfig': {
            'S3Uri': 'string'
        },
        'DataAccessRoleArn': 'string'
    }
}

Response Structure

  • (dict) --
    • TextTranslationJobProperties (dict) --

      An object that contains the properties associated with an asynchronous batch translation job.

      • JobId (string) --

        The ID of the translation job.

      • JobName (string) --

        The user-defined name of the translation job.

      • JobStatus (string) --

        The status of the translation job.

      • JobDetails (dict) --

        The number of documents successfully and unsuccessfully processed during the translation job.

        • TranslatedDocumentsCount (integer) --

          The number of documents successfully processed during a translation job.

        • DocumentsWithErrorsCount (integer) --

          The number of documents that could not be processed during a translation job.

        • InputDocumentsCount (integer) --

          The number of documents used as input in a translation job.

      • SourceLanguageCode (string) --

        The language code of the language of the source text. The language must be a language supported by Amazon Translate.

      • TargetLanguageCodes (list) --

        The language code of the language of the target text. The language must be a language supported by Amazon Translate.

        • (string) --
      • TerminologyNames (list) --

        A list containing the names of the terminologies applied to a translation job. Only one terminology can be applied per StartTextTranslationJob request at this time.

        • (string) --
      • Message (string) --

        An explanation of any errors that may have occured during the translation job.

      • SubmittedTime (datetime) --

        The time at which the translation job was submitted.

      • EndTime (datetime) --

        The time at which the translation job ended.

      • InputDataConfig (dict) --

        The input configuration properties that were specified when the job was requested.

        • S3Uri (string) --

          The URI of the AWS S3 folder that contains the input file. The folder must be in the same Region as the API endpoint you are calling.

        • ContentType (string) --

          The multipurpose internet mail extension (MIME) type of the input files. Valid values are text/plain for plaintext files and text/html for HTML files.

      • OutputDataConfig (dict) --

        The output configuration properties that were specified when the job was requested.

        • S3Uri (string) --

          The URI of the S3 folder that contains a translation job's output file. The folder must be in the same Region as the API endpoint that you are calling.

      • DataAccessRoleArn (string) --

        The Amazon Resource Name (ARN) of an AWS Identity Access and Management (IAM) role that granted Amazon Translate read access to the job's input data.

generate_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters
  • ClientMethod (string) -- The client method to presign for
  • Params (dict) -- The parameters normally passed to ClientMethod.
  • ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
  • HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.
Returns

The presigned url

get_paginator(operation_name)

Create a paginator for an operation.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Raises OperationNotPageableError
Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.
Return type
L{botocore.paginate.Paginator}
Returns
A paginator object.
get_terminology(**kwargs)

Retrieves a custom terminology.

See also: AWS API Documentation

Request Syntax

response = client.get_terminology(
    Name='string',
    TerminologyDataFormat='CSV'|'TMX'
)
Parameters
  • Name (string) --

    [REQUIRED]

    The name of the custom terminology being retrieved.

  • TerminologyDataFormat (string) --

    [REQUIRED]

    The data format of the custom terminology being retrieved, either CSV or TMX.

Return type

dict

Returns

Response Syntax

{
    'TerminologyProperties': {
        'Name': 'string',
        'Description': 'string',
        'Arn': 'string',
        'SourceLanguageCode': 'string',
        'TargetLanguageCodes': [
            'string',
        ],
        'EncryptionKey': {
            'Type': 'KMS',
            'Id': 'string'
        },
        'SizeBytes': 123,
        'TermCount': 123,
        'CreatedAt': datetime(2015, 1, 1),
        'LastUpdatedAt': datetime(2015, 1, 1)
    },
    'TerminologyDataLocation': {
        'RepositoryType': 'string',
        'Location': 'string'
    }
}

Response Structure

  • (dict) --

    • TerminologyProperties (dict) --

      The properties of the custom terminology being retrieved.

      • Name (string) --

        The name of the custom terminology.

      • Description (string) --

        The description of the custom terminology properties.

      • Arn (string) --

        The Amazon Resource Name (ARN) of the custom terminology.

      • SourceLanguageCode (string) --

        The language code for the source text of the translation request for which the custom terminology is being used.

      • TargetLanguageCodes (list) --

        The language codes for the target languages available with the custom terminology file. All possible target languages are returned in array.

        • (string) --

      • EncryptionKey (dict) --

        The encryption key for the custom terminology.

        • Type (string) --

          The type of encryption key used by Amazon Translate to encrypt custom terminologies.

        • Id (string) --

          The Amazon Resource Name (ARN) of the encryption key being used to encrypt the custom terminology.

      • SizeBytes (integer) --

        The size of the file used when importing a custom terminology.

      • TermCount (integer) --

        The number of terms included in the custom terminology.

      • CreatedAt (datetime) --

        The time at which the custom terminology was created, based on the timestamp.

      • LastUpdatedAt (datetime) --

        The time at which the custom terminology was last update, based on the timestamp.

    • TerminologyDataLocation (dict) --

      The data location of the custom terminology being retrieved. The custom terminology file is returned in a presigned url that has a 30 minute expiration.

      • RepositoryType (string) --

        The repository type for the custom terminology data.

      • Location (string) --

        The location of the custom terminology data.

get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters
waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.
Returns
The specified waiter object.
Return type
botocore.waiter.Waiter
import_terminology(**kwargs)

Creates or updates a custom terminology, depending on whether or not one already exists for the given terminology name. Importing a terminology with the same name as an existing one will merge the terminologies based on the chosen merge strategy. Currently, the only supported merge strategy is OVERWRITE, and so the imported terminology will overwrite an existing terminology of the same name.

If you import a terminology that overwrites an existing one, the new terminology take up to 10 minutes to fully propagate and be available for use in a translation due to cache policies with the DataPlane service that performs the translations.

See also: AWS API Documentation

Request Syntax

response = client.import_terminology(
    Name='string',
    MergeStrategy='OVERWRITE',
    Description='string',
    TerminologyData={
        'File': b'bytes',
        'Format': 'CSV'|'TMX'
    },
    EncryptionKey={
        'Type': 'KMS',
        'Id': 'string'
    }
)
Parameters
  • Name (string) --

    [REQUIRED]

    The name of the custom terminology being imported.

  • MergeStrategy (string) --

    [REQUIRED]

    The merge strategy of the custom terminology being imported. Currently, only the OVERWRITE merge strategy is supported. In this case, the imported terminology will overwrite an existing terminology of the same name.

  • Description (string) -- The description of the custom terminology being imported.
  • TerminologyData (dict) --

    [REQUIRED]

    The terminology data for the custom terminology being imported.

    • File (bytes) -- [REQUIRED]

      The file containing the custom terminology data. Your version of the AWS SDK performs a Base64-encoding on this field before sending a request to the AWS service. Users of the SDK should not perform Base64-encoding themselves.

    • Format (string) -- [REQUIRED]

      The data format of the custom terminology. Either CSV or TMX.

  • EncryptionKey (dict) --

    The encryption key for the custom terminology being imported.

    • Type (string) -- [REQUIRED]

      The type of encryption key used by Amazon Translate to encrypt custom terminologies.

    • Id (string) -- [REQUIRED]

      The Amazon Resource Name (ARN) of the encryption key being used to encrypt the custom terminology.

Return type

dict

Returns

Response Syntax

{
    'TerminologyProperties': {
        'Name': 'string',
        'Description': 'string',
        'Arn': 'string',
        'SourceLanguageCode': 'string',
        'TargetLanguageCodes': [
            'string',
        ],
        'EncryptionKey': {
            'Type': 'KMS',
            'Id': 'string'
        },
        'SizeBytes': 123,
        'TermCount': 123,
        'CreatedAt': datetime(2015, 1, 1),
        'LastUpdatedAt': datetime(2015, 1, 1)
    }
}

Response Structure

  • (dict) --

    • TerminologyProperties (dict) --

      The properties of the custom terminology being imported.

      • Name (string) --

        The name of the custom terminology.

      • Description (string) --

        The description of the custom terminology properties.

      • Arn (string) --

        The Amazon Resource Name (ARN) of the custom terminology.

      • SourceLanguageCode (string) --

        The language code for the source text of the translation request for which the custom terminology is being used.

      • TargetLanguageCodes (list) --

        The language codes for the target languages available with the custom terminology file. All possible target languages are returned in array.

        • (string) --

      • EncryptionKey (dict) --

        The encryption key for the custom terminology.

        • Type (string) --

          The type of encryption key used by Amazon Translate to encrypt custom terminologies.

        • Id (string) --

          The Amazon Resource Name (ARN) of the encryption key being used to encrypt the custom terminology.

      • SizeBytes (integer) --

        The size of the file used when importing a custom terminology.

      • TermCount (integer) --

        The number of terms included in the custom terminology.

      • CreatedAt (datetime) --

        The time at which the custom terminology was created, based on the timestamp.

      • LastUpdatedAt (datetime) --

        The time at which the custom terminology was last update, based on the timestamp.

list_terminologies(**kwargs)

Provides a list of custom terminologies associated with your account.

See also: AWS API Documentation

Request Syntax

response = client.list_terminologies(
    NextToken='string',
    MaxResults=123
)
Parameters
  • NextToken (string) -- If the result of the request to ListTerminologies was truncated, include the NextToken to fetch the next group of custom terminologies.
  • MaxResults (integer) -- The maximum number of custom terminologies returned per list request.
Return type

dict

Returns

Response Syntax

{
    'TerminologyPropertiesList': [
        {
            'Name': 'string',
            'Description': 'string',
            'Arn': 'string',
            'SourceLanguageCode': 'string',
            'TargetLanguageCodes': [
                'string',
            ],
            'EncryptionKey': {
                'Type': 'KMS',
                'Id': 'string'
            },
            'SizeBytes': 123,
            'TermCount': 123,
            'CreatedAt': datetime(2015, 1, 1),
            'LastUpdatedAt': datetime(2015, 1, 1)
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) --

    • TerminologyPropertiesList (list) --

      The properties list of the custom terminologies returned on the list request.

      • (dict) --

        The properties of the custom terminology.

        • Name (string) --

          The name of the custom terminology.

        • Description (string) --

          The description of the custom terminology properties.

        • Arn (string) --

          The Amazon Resource Name (ARN) of the custom terminology.

        • SourceLanguageCode (string) --

          The language code for the source text of the translation request for which the custom terminology is being used.

        • TargetLanguageCodes (list) --

          The language codes for the target languages available with the custom terminology file. All possible target languages are returned in array.

          • (string) --

        • EncryptionKey (dict) --

          The encryption key for the custom terminology.

          • Type (string) --

            The type of encryption key used by Amazon Translate to encrypt custom terminologies.

          • Id (string) --

            The Amazon Resource Name (ARN) of the encryption key being used to encrypt the custom terminology.

        • SizeBytes (integer) --

          The size of the file used when importing a custom terminology.

        • TermCount (integer) --

          The number of terms included in the custom terminology.

        • CreatedAt (datetime) --

          The time at which the custom terminology was created, based on the timestamp.

        • LastUpdatedAt (datetime) --

          The time at which the custom terminology was last update, based on the timestamp.

    • NextToken (string) --

      If the response to the ListTerminologies was truncated, the NextToken fetches the next group of custom terminologies.

list_text_translation_jobs(**kwargs)

Gets a list of the batch translation jobs that you have submitted.

See also: AWS API Documentation

Request Syntax

response = client.list_text_translation_jobs(
    Filter={
        'JobName': 'string',
        'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'COMPLETED_WITH_ERROR'|'FAILED'|'STOP_REQUESTED'|'STOPPED',
        'SubmittedBeforeTime': datetime(2015, 1, 1),
        'SubmittedAfterTime': datetime(2015, 1, 1)
    },
    NextToken='string',
    MaxResults=123
)
Parameters
  • Filter (dict) --

    The parameters that specify which batch translation jobs to retrieve. Filters include job name, job status, and submission time. You can only set one filter at a time.

    • JobName (string) --

      Filters the list of jobs by name.

    • JobStatus (string) --

      Filters the list of jobs based by job status.

    • SubmittedBeforeTime (datetime) --

      Filters the list of jobs based on the time that the job was submitted for processing and returns only the jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.

    • SubmittedAfterTime (datetime) --

      Filters the list of jobs based on the time that the job was submitted for processing and returns only the jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.

  • NextToken (string) -- The token to request the next page of results.
  • MaxResults (integer) -- The maximum number of results to return in each page. The default value is 100.
Return type

dict

Returns

Response Syntax

{
    'TextTranslationJobPropertiesList': [
        {
            'JobId': 'string',
            'JobName': 'string',
            'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'COMPLETED_WITH_ERROR'|'FAILED'|'STOP_REQUESTED'|'STOPPED',
            'JobDetails': {
                'TranslatedDocumentsCount': 123,
                'DocumentsWithErrorsCount': 123,
                'InputDocumentsCount': 123
            },
            'SourceLanguageCode': 'string',
            'TargetLanguageCodes': [
                'string',
            ],
            'TerminologyNames': [
                'string',
            ],
            'Message': 'string',
            'SubmittedTime': datetime(2015, 1, 1),
            'EndTime': datetime(2015, 1, 1),
            'InputDataConfig': {
                'S3Uri': 'string',
                'ContentType': 'string'
            },
            'OutputDataConfig': {
                'S3Uri': 'string'
            },
            'DataAccessRoleArn': 'string'
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) --

    • TextTranslationJobPropertiesList (list) --

      A list containing the properties of each job that is returned.

      • (dict) --

        Provides information about a translation job.

        • JobId (string) --

          The ID of the translation job.

        • JobName (string) --

          The user-defined name of the translation job.

        • JobStatus (string) --

          The status of the translation job.

        • JobDetails (dict) --

          The number of documents successfully and unsuccessfully processed during the translation job.

          • TranslatedDocumentsCount (integer) --

            The number of documents successfully processed during a translation job.

          • DocumentsWithErrorsCount (integer) --

            The number of documents that could not be processed during a translation job.

          • InputDocumentsCount (integer) --

            The number of documents used as input in a translation job.

        • SourceLanguageCode (string) --

          The language code of the language of the source text. The language must be a language supported by Amazon Translate.

        • TargetLanguageCodes (list) --

          The language code of the language of the target text. The language must be a language supported by Amazon Translate.

          • (string) --

        • TerminologyNames (list) --

          A list containing the names of the terminologies applied to a translation job. Only one terminology can be applied per StartTextTranslationJob request at this time.

          • (string) --

        • Message (string) --

          An explanation of any errors that may have occured during the translation job.

        • SubmittedTime (datetime) --

          The time at which the translation job was submitted.

        • EndTime (datetime) --

          The time at which the translation job ended.

        • InputDataConfig (dict) --

          The input configuration properties that were specified when the job was requested.

          • S3Uri (string) --

            The URI of the AWS S3 folder that contains the input file. The folder must be in the same Region as the API endpoint you are calling.

          • ContentType (string) --

            The multipurpose internet mail extension (MIME) type of the input files. Valid values are text/plain for plaintext files and text/html for HTML files.

        • OutputDataConfig (dict) --

          The output configuration properties that were specified when the job was requested.

          • S3Uri (string) --

            The URI of the S3 folder that contains a translation job's output file. The folder must be in the same Region as the API endpoint that you are calling.

        • DataAccessRoleArn (string) --

          The Amazon Resource Name (ARN) of an AWS Identity Access and Management (IAM) role that granted Amazon Translate read access to the job's input data.

    • NextToken (string) --

      The token to use to retreive the next page of results. This value is null when there are no more results to return.

start_text_translation_job(**kwargs)

Starts an asynchronous batch translation job. Batch translation jobs can be used to translate large volumes of text across multiple documents at once. For more information, see async .

Batch translation jobs can be described with the DescribeTextTranslationJob operation, listed with the ListTextTranslationJobs operation, and stopped with the StopTextTranslationJob operation.

Note

Amazon Translate does not support batch translation of multiple source languages at once.

See also: AWS API Documentation

Request Syntax

response = client.start_text_translation_job(
    JobName='string',
    InputDataConfig={
        'S3Uri': 'string',
        'ContentType': 'string'
    },
    OutputDataConfig={
        'S3Uri': 'string'
    },
    DataAccessRoleArn='string',
    SourceLanguageCode='string',
    TargetLanguageCodes=[
        'string',
    ],
    TerminologyNames=[
        'string',
    ],
    ClientToken='string'
)
Parameters
  • JobName (string) -- The name of the batch translation job to be performed.
  • InputDataConfig (dict) --

    [REQUIRED]

    Specifies the format and S3 location of the input documents for the translation job.

    • S3Uri (string) -- [REQUIRED]

      The URI of the AWS S3 folder that contains the input file. The folder must be in the same Region as the API endpoint you are calling.

    • ContentType (string) -- [REQUIRED]

      The multipurpose internet mail extension (MIME) type of the input files. Valid values are text/plain for plaintext files and text/html for HTML files.

  • OutputDataConfig (dict) --

    [REQUIRED]

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

    • S3Uri (string) -- [REQUIRED]

      The URI of the S3 folder that contains a translation job's output file. The folder must be in the same Region as the API endpoint that you are calling.

  • DataAccessRoleArn (string) --

    [REQUIRED]

    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 nformation, see identity-and-access-management .

  • SourceLanguageCode (string) --

    [REQUIRED]

    The language code of the input language. For a list of language codes, see what-is-languages .

    Amazon Translate does not automatically detect a source language during batch translation jobs.

  • TargetLanguageCodes (list) --

    [REQUIRED]

    The language code of the output language.

    • (string) --
  • TerminologyNames (list) --

    The name of the terminology to use in the batch translation job. For a list of available terminologies, use the ListTerminologies operation.

    • (string) --
  • ClientToken (string) --

    [REQUIRED]

    The client token of the EC2 instance calling the request. This token is auto-generated when using the Amazon Translate SDK. Otherwise, use the DescribeInstances EC2 operation to retreive an instance's client token. For more information, see Client Tokens in the EC2 User Guide.

    This field is autopopulated if not provided.

Return type

dict

Returns

Response Syntax

{
    'JobId': 'string',
    'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'COMPLETED_WITH_ERROR'|'FAILED'|'STOP_REQUESTED'|'STOPPED'
}

Response Structure

  • (dict) --

    • JobId (string) --

      The identifier generated for the job. To get the status of a job, use this ID with the DescribeTextTranslationJob operation.

    • JobStatus (string) --

      The status of the job. Possible values include:

      • SUBMITTED - The job has been received and is queued for processing.
      • IN_PROGRESS - Amazon Translate is processing the job.
      • COMPLETED - The job was successfully completed and the output is available.
      • COMPLETED_WITH_ERRORS - The job was completed with errors. The errors can be analyzed in the job's output.
      • FAILED - The job did not complete. To get details, use the DescribeTextTranslationJob operation.
      • STOP_REQUESTED - The user who started the job has requested that it be stopped.
      • STOPPED - The job has been stopped.

stop_text_translation_job(**kwargs)

Stops an asynchronous batch translation job that is in progress.

If the job's state is IN_PROGRESS , the job will be marked for termination and put into the STOP_REQUESTED state. If the job completes before it can be stopped, it is put into the COMPLETED state. Otherwise, the job is put into the STOPPED state.

Asynchronous batch translation jobs are started with the StartTextTranslationJob operation. You can use the DescribeTextTranslationJob or ListTextTranslationJobs operations to get a batch translation job's JobId .

See also: AWS API Documentation

Request Syntax

response = client.stop_text_translation_job(
    JobId='string'
)
Parameters
JobId (string) --

[REQUIRED]

The job ID of the job to be stopped.

Return type
dict
Returns
Response Syntax
{
    'JobId': 'string',
    'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'COMPLETED_WITH_ERROR'|'FAILED'|'STOP_REQUESTED'|'STOPPED'
}

Response Structure

  • (dict) --
    • JobId (string) --

      The job ID of the stopped batch translation job.

    • JobStatus (string) --

      The status of the designated job. Upon successful completion, the job's status will be STOPPED .

translate_text(**kwargs)

Translates input text from the source language to the target language. For a list of available languages and language codes, see what-is-languages .

See also: AWS API Documentation

Request Syntax

response = client.translate_text(
    Text='string',
    TerminologyNames=[
        'string',
    ],
    SourceLanguageCode='string',
    TargetLanguageCode='string'
)
Parameters
  • Text (string) --

    [REQUIRED]

    The text to translate. The text string can be a maximum of 5,000 bytes long. Depending on your character set, this may be fewer than 5,000 characters.

  • TerminologyNames (list) --

    The name of the terminology list file to be used in the TranslateText request. You can use 1 terminology list at most in a TranslateText request. Terminology lists can contain a maximum of 256 terms.

    • (string) --
  • SourceLanguageCode (string) --

    [REQUIRED]

    The language code for the language of the source text. The language must be a language supported by Amazon Translate. For a list of language codes, see what-is-languages .

    To have Amazon Translate determine the source language of your text, you can specify auto in the SourceLanguageCode field. If you specify auto , Amazon Translate will call Amazon Comprehend to determine the source language.

  • TargetLanguageCode (string) --

    [REQUIRED]

    The language code requested for the language of the target text. The language must be a language supported by Amazon Translate.

Return type

dict

Returns

Response Syntax

{
    'TranslatedText': 'string',
    'SourceLanguageCode': 'string',
    'TargetLanguageCode': 'string',
    'AppliedTerminologies': [
        {
            'Name': 'string',
            'Terms': [
                {
                    'SourceText': 'string',
                    'TargetText': 'string'
                },
            ]
        },
    ]
}

Response Structure

  • (dict) --

    • TranslatedText (string) --

      The translated text.

    • SourceLanguageCode (string) --

      The language code for the language of the source text.

    • TargetLanguageCode (string) --

      The language code for the language of the target text.

    • AppliedTerminologies (list) --

      The names of the custom terminologies applied to the input text by Amazon Translate for the translated text response.

      • (dict) --

        The custom terminology applied to the input text by Amazon Translate for the translated text response. This is optional in the response and will only be present if you specified terminology input in the request. Currently, only one terminology can be applied per TranslateText request.

        • Name (string) --

          The name of the custom terminology applied to the input text by Amazon Translate for the translated text response.

        • Terms (list) --

          The specific terms of the custom terminology applied to the input text by Amazon Translate for the translated text response. A maximum of 250 terms will be returned, and the specific terms applied will be the first 250 terms in the source text.

          • (dict) --

            The term being translated by the custom terminology.

            • SourceText (string) --

              The source text of the term being translated by the custom terminology.

            • TargetText (string) --

              The target text of the term being translated by the custom terminology.

Paginators

The available paginators are:

class Translate.Paginator.ListTerminologies
paginator = client.get_paginator('list_terminologies')
paginate(**kwargs)

Creates an iterator that will paginate through responses from Translate.Client.list_terminologies().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)
Parameters
PaginationConfig (dict) --

A dictionary that provides parameters to control pagination.

  • MaxItems (integer) --

    The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

  • PageSize (integer) --

    The size of each page.

  • StartingToken (string) --

    A token to specify where to start paginating. This is the NextToken from a previous response.

Return type
dict
Returns
Response Syntax
{
    'TerminologyPropertiesList': [
        {
            'Name': 'string',
            'Description': 'string',
            'Arn': 'string',
            'SourceLanguageCode': 'string',
            'TargetLanguageCodes': [
                'string',
            ],
            'EncryptionKey': {
                'Type': 'KMS',
                'Id': 'string'
            },
            'SizeBytes': 123,
            'TermCount': 123,
            'CreatedAt': datetime(2015, 1, 1),
            'LastUpdatedAt': datetime(2015, 1, 1)
        },
    ],

}

Response Structure

  • (dict) --
    • TerminologyPropertiesList (list) --

      The properties list of the custom terminologies returned on the list request.

      • (dict) --

        The properties of the custom terminology.

        • Name (string) --

          The name of the custom terminology.

        • Description (string) --

          The description of the custom terminology properties.

        • Arn (string) --

          The Amazon Resource Name (ARN) of the custom terminology.

        • SourceLanguageCode (string) --

          The language code for the source text of the translation request for which the custom terminology is being used.

        • TargetLanguageCodes (list) --

          The language codes for the target languages available with the custom terminology file. All possible target languages are returned in array.

          • (string) --
        • EncryptionKey (dict) --

          The encryption key for the custom terminology.

          • Type (string) --

            The type of encryption key used by Amazon Translate to encrypt custom terminologies.

          • Id (string) --

            The Amazon Resource Name (ARN) of the encryption key being used to encrypt the custom terminology.

        • SizeBytes (integer) --

          The size of the file used when importing a custom terminology.

        • TermCount (integer) --

          The number of terms included in the custom terminology.

        • CreatedAt (datetime) --

          The time at which the custom terminology was created, based on the timestamp.

        • LastUpdatedAt (datetime) --

          The time at which the custom terminology was last update, based on the timestamp.

Transfer
WAF

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