Translate

Service object for interacting with AWS Translate service.

public struct Translate: AWSService 

Provides translation between one source language and another of the same set of languages.

Inheritance

AWSService

Initializers

init(client:region:partition:endpoint:timeout:byteBufferAllocator:options:)

Initialize the Translate client

public init(
        client: AWSClient,
        region: SotoCore.Region? = nil,
        partition: AWSPartition = .aws,
        endpoint: String? = nil,
        timeout: TimeAmount? = nil,
        byteBufferAllocator: ByteBufferAllocator = ByteBufferAllocator(),
        options: AWSServiceConfig.Options = []
    ) 

Parameters

• client: AWSClient used to process requests
• region: Region of server you want to communicate with. This will override the partition parameter.
• partition: AWS partition where service resides, standard (.aws), china (.awscn), government (.awsusgov).
• endpoint: Custom endpoint URL to use instead of standard AWS servers
• timeout: Timeout value for HTTP requests

init(from:patch:)

Initializer required by AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options). You are not able to use this initializer directly as there are no public initializers for AWSServiceConfig.Patch. Please use AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options) instead.

public init(from: Translate, patch: AWSServiceConfig.Patch) 

Properties

client

Client used for communication with AWS

public let client: AWSClient

config

Service configuration

public let config: AWSServiceConfig

Methods

createParallelData(_:logger:on:)

public func createParallelData(_ input: CreateParallelDataRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateParallelDataResponse> 

Creates a parallel data resource in Amazon Translate by importing an input file from Amazon S3. Parallel data files contain examples that show how you want segments of text to be translated. By adding parallel data, you can influence the style, tone, and word choice in your translation output.

deleteParallelData(_:logger:on:)

public func deleteParallelData(_ input: DeleteParallelDataRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteParallelDataResponse> 

Deletes a parallel data resource in Amazon Translate.

deleteTerminology(_:logger:on:)

@discardableResult public func deleteTerminology(_ input: DeleteTerminologyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<Void> 

A synchronous action that deletes a custom terminology.

describeTextTranslationJob(_:logger:on:)

public func describeTextTranslationJob(_ input: DescribeTextTranslationJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeTextTranslationJobResponse> 

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

getParallelData(_:logger:on:)

public func getParallelData(_ input: GetParallelDataRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetParallelDataResponse> 

Provides information about a parallel data resource.

getTerminology(_:logger:on:)

public func getTerminology(_ input: GetTerminologyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTerminologyResponse> 

Retrieves a custom terminology.

importTerminology(_:logger:on:)

public func importTerminology(_ input: ImportTerminologyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ImportTerminologyResponse> 

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.

listParallelData(_:logger:on:)

public func listParallelData(_ input: ListParallelDataRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListParallelDataResponse> 

Provides a list of your parallel data resources in Amazon Translate.

listTerminologies(_:logger:on:)

public func listTerminologies(_ input: ListTerminologiesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListTerminologiesResponse> 

Provides a list of custom terminologies associated with your account.

listTextTranslationJobs(_:logger:on:)

public func listTextTranslationJobs(_ input: ListTextTranslationJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListTextTranslationJobsResponse> 

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

startTextTranslationJob(_:logger:on:)

public func startTextTranslationJob(_ input: StartTextTranslationJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartTextTranslationJobResponse> 

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.

stopTextTranslationJob(_:logger:on:)

public func stopTextTranslationJob(_ input: StopTextTranslationJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopTextTranslationJobResponse> 

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.

translateText(_:logger:on:)

public func translateText(_ input: TranslateTextRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<TranslateTextResponse> 

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

updateParallelData(_:logger:on:)

public func updateParallelData(_ input: UpdateParallelDataRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateParallelDataResponse> 

Updates a previously created parallel data resource by importing a new input file from Amazon S3.

listParallelDataPaginator(_:logger:on:)

compiler(>=5.5.2) && canImport(_Concurrency)

public func listParallelDataPaginator(
        _ input: ListParallelDataRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil
    ) -> AWSClient.PaginatorSequence<ListParallelDataRequest, ListParallelDataResponse> 

Provides a list of your parallel data resources in Amazon Translate.

Return PaginatorSequence for operation. - Parameters: - input: Input for request - logger: Logger used flot logging - eventLoop: EventLoop to run this process on

listTerminologiesPaginator(_:logger:on:)

compiler(>=5.5.2) && canImport(_Concurrency)

public func listTerminologiesPaginator(
        _ input: ListTerminologiesRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil
    ) -> AWSClient.PaginatorSequence<ListTerminologiesRequest, ListTerminologiesResponse> 

Provides a list of custom terminologies associated with your account.

Return PaginatorSequence for operation. - Parameters: - input: Input for request - logger: Logger used flot logging - eventLoop: EventLoop to run this process on

listTextTranslationJobsPaginator(_:logger:on:)

compiler(>=5.5.2) && canImport(_Concurrency)

public func listTextTranslationJobsPaginator(
        _ input: ListTextTranslationJobsRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil
    ) -> AWSClient.PaginatorSequence<ListTextTranslationJobsRequest, ListTextTranslationJobsResponse> 

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

Return PaginatorSequence for operation. - Parameters: - input: Input for request - logger: Logger used flot logging - eventLoop: EventLoop to run this process on

listParallelDataPaginator(_:_:logger:on:onPage:)

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:​_:​) -> Result.

public func listParallelDataPaginator<Result>(
        _ input: ListParallelDataRequest,
        _ initialValue: Result,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (Result, ListParallelDataResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>
    ) -> EventLoopFuture<Result> 

Provides a list of your parallel data resources in Amazon Translate.

Parameters:

• input: Input for request

• initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.

• logger: Logger used flot logging

• eventLoop: EventLoop to run this process on

• onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listParallelDataPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listParallelDataPaginator(
        _ input: ListParallelDataRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (ListParallelDataResponse, EventLoop) -> EventLoopFuture<Bool>
    ) -> EventLoopFuture<Void> 

Parameters

• input: Input for request
• logger: Logger used flot logging
• eventLoop: EventLoop to run this process on
• onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listTerminologiesPaginator(_:_:logger:on:onPage:)

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:​_:​) -> Result.

public func listTerminologiesPaginator<Result>(
        _ input: ListTerminologiesRequest,
        _ initialValue: Result,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (Result, ListTerminologiesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>
    ) -> EventLoopFuture<Result> 

Provides a list of custom terminologies associated with your account.

Parameters:

• input: Input for request

• initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.

• logger: Logger used flot logging

• eventLoop: EventLoop to run this process on

• onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listTerminologiesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listTerminologiesPaginator(
        _ input: ListTerminologiesRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (ListTerminologiesResponse, EventLoop) -> EventLoopFuture<Bool>
    ) -> EventLoopFuture<Void> 

Parameters

• input: Input for request
• logger: Logger used flot logging
• eventLoop: EventLoop to run this process on
• onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listTextTranslationJobsPaginator(_:_:logger:on:onPage:)

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:​_:​) -> Result.

public func listTextTranslationJobsPaginator<Result>(
        _ input: ListTextTranslationJobsRequest,
        _ initialValue: Result,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (Result, ListTextTranslationJobsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>
    ) -> EventLoopFuture<Result> 

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

Parameters:

• input: Input for request

• initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.

• logger: Logger used flot logging

• eventLoop: EventLoop to run this process on

• onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listTextTranslationJobsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listTextTranslationJobsPaginator(
        _ input: ListTextTranslationJobsRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (ListTextTranslationJobsResponse, EventLoop) -> EventLoopFuture<Bool>
    ) -> EventLoopFuture<Void> 

Parameters

• input: Input for request
• logger: Logger used flot logging
• eventLoop: EventLoop to run this process on
• onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.