There are more AWS SDK examples available in the [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub repo.

# Code examples for Amazon Translate using AWS SDKs
<a name="translate_code_examples"></a>

The following code examples show you how to use Amazon Translate with an AWS software development kit (SDK).

*Actions* are code excerpts from larger programs and must be run in context. While actions show you how to call individual service functions, you can see actions in context in their related scenarios.

*Scenarios* are code examples that show you how to accomplish specific tasks by calling multiple functions within a service or combined with other AWS services.

**More resources**
+  **[ Amazon Translate Developer Guide](https://docs.aws.amazon.com/translate/latest/dg/what-is.html)** – More information about Amazon Translate.
+ **[Amazon Translate API Reference](https://docs.aws.amazon.com/translate/latest/APIReference/welcome.html)** – Details about all available Amazon Translate actions.
+ **[AWS Developer Center](https://aws.amazon.com/developer/code-examples/?awsf.sdk-code-examples-product=product%23translate)** – Code examples that you can filter by category or full-text search.
+ **[AWS SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples)** – GitHub repo with complete code in preferred languages. Includes instructions for setting up and running the code.

**Contents**
+ [Basics](translate_code_examples_basics.md)
  + [Actions](translate_code_examples_actions.md)
    + [`DescribeTextTranslationJob`](translate_example_translate_DescribeTextTranslationJob_section.md)
    + [`ListTextTranslationJobs`](translate_example_translate_ListTextTranslationJobs_section.md)
    + [`StartTextTranslationJob`](translate_example_translate_StartTextTranslationJob_section.md)
    + [`StopTextTranslationJob`](translate_example_translate_StopTextTranslationJob_section.md)
    + [`TranslateText`](translate_example_translate_TranslateText_section.md)
+ [Scenarios](translate_code_examples_scenarios.md)
  + [Build an Amazon Transcribe streaming app](translate_example_cross_TranscriptionStreamingApp_section.md)
  + [Building an Amazon Lex chatbot](translate_example_cross_LexChatbotLanguages_section.md)
  + [Building an Amazon SNS application](translate_example_cross_SnsPublishSubscription_section.md)
  + [Create an application to analyze customer feedback](translate_example_cross_FSA_section.md)
  + [Get started with translate jobs](translate_example_translate_Scenario_GettingStarted_section.md)

# Basic examples for Amazon Translate using AWS SDKs
<a name="translate_code_examples_basics"></a>

The following code examples show how to use the basics of Amazon Translate with AWS SDKs. 

**Contents**
+ [Actions](translate_code_examples_actions.md)
  + [`DescribeTextTranslationJob`](translate_example_translate_DescribeTextTranslationJob_section.md)
  + [`ListTextTranslationJobs`](translate_example_translate_ListTextTranslationJobs_section.md)
  + [`StartTextTranslationJob`](translate_example_translate_StartTextTranslationJob_section.md)
  + [`StopTextTranslationJob`](translate_example_translate_StopTextTranslationJob_section.md)
  + [`TranslateText`](translate_example_translate_TranslateText_section.md)

# Actions for Amazon Translate using AWS SDKs
<a name="translate_code_examples_actions"></a>

The following code examples demonstrate how to perform individual Amazon Translate actions with AWS SDKs. Each example includes a link to GitHub, where you can find instructions for setting up and running the code. 

These excerpts call the Amazon Translate API and are code excerpts from larger programs that must be run in context. You can see actions in context in [Scenarios for Amazon Translate using AWS SDKs](translate_code_examples_scenarios.md). 

 The following examples include only the most commonly used actions. For a complete list, see the [Amazon Translate API Reference](https://docs.aws.amazon.com/translate/latest/APIReference/welcome.html). 

**Topics**
+ [`DescribeTextTranslationJob`](translate_example_translate_DescribeTextTranslationJob_section.md)
+ [`ListTextTranslationJobs`](translate_example_translate_ListTextTranslationJobs_section.md)
+ [`StartTextTranslationJob`](translate_example_translate_StartTextTranslationJob_section.md)
+ [`StopTextTranslationJob`](translate_example_translate_StopTextTranslationJob_section.md)
+ [`TranslateText`](translate_example_translate_TranslateText_section.md)

# Use `DescribeTextTranslationJob` with an AWS SDK
<a name="translate_example_translate_DescribeTextTranslationJob_section"></a>

The following code examples show how to use `DescribeTextTranslationJob`.

Action examples are code excerpts from larger programs and must be run in context. You can see this action in context in the following code example: 
+  [Get started with translate jobs](translate_example_translate_Scenario_GettingStarted_section.md) 

------
#### [ .NET ]

**SDK for .NET**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples). 

```
    using System;
    using System.Threading.Tasks;
    using Amazon.Translate;
    using Amazon.Translate.Model;

    /// <summary>
    /// The following example shows how to retrieve the details of
    /// a text translation job using Amazon Translate.
    /// </summary>
    public class DescribeTextTranslation
    {
        public static async Task Main()
        {
            var client = new AmazonTranslateClient();

            // The Job Id is generated when the text translation job is started
            // with a call to the StartTextTranslationJob method.
            var jobId = "1234567890abcdef01234567890abcde";

            var request = new DescribeTextTranslationJobRequest
            {
                JobId = jobId,
            };

            var jobProperties = await DescribeTranslationJobAsync(client, request);

            DisplayTranslationJobDetails(jobProperties);
        }

        /// <summary>
        /// Retrieve information about an Amazon Translate text translation job.
        /// </summary>
        /// <param name="client">The initialized Amazon Translate client object.</param>
        /// <param name="request">The DescribeTextTranslationJobRequest object.</param>
        /// <returns>The TextTranslationJobProperties object containing
        /// information about the text translation job..</returns>
        public static async Task<TextTranslationJobProperties> DescribeTranslationJobAsync(
            AmazonTranslateClient client,
            DescribeTextTranslationJobRequest request)
        {
            var response = await client.DescribeTextTranslationJobAsync(request);
            if (response.HttpStatusCode == System.Net.HttpStatusCode.OK)
            {
                return response.TextTranslationJobProperties;
            }
            else
            {
                return null;
            }
        }

        /// <summary>
        /// Displays the properties of the text translation job.
        /// </summary>
        /// <param name="jobProperties">The properties of the text translation
        /// job returned by the call to DescribeTextTranslationJobAsync.</param>
        public static void DisplayTranslationJobDetails(TextTranslationJobProperties jobProperties)
        {
            if (jobProperties is null)
            {
                Console.WriteLine("No text translation job properties found.");
                return;
            }

            // Display the details of the text translation job.
            Console.WriteLine($"{jobProperties.JobId}: {jobProperties.JobName}");
        }
    }
```
+  For API details, see [DescribeTextTranslationJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/DescribeTextTranslationJob) in *AWS SDK for .NET API Reference*. 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/xl8#code-examples). 

```
    "Gets the properties associated with an asynchronous batch translation job."
    "Includes properties such as name, ID, status, source and target languages, and input/output Amazon Simple Storage Service (Amazon S3) buckets."
    TRY.
        oo_result = lo_xl8->describetexttranslationjob(      "oo_result is returned for testing purposes."
          iv_jobid        = iv_jobid ).
        MESSAGE 'Job description retrieved.' TYPE 'I'.
      CATCH /aws1/cx_xl8internalserverex.
        MESSAGE 'An internal server error occurred. Retry your request.' TYPE 'E'.
      CATCH /aws1/cx_xl8resourcenotfoundex.
        MESSAGE 'The resource you are looking for has not been found.' TYPE 'E'.
      CATCH /aws1/cx_xl8toomanyrequestsex.
        MESSAGE 'You have made too many requests within a short period of time.' TYPE 'E'.
    ENDTRY.
```
+  For API details, see [DescribeTextTranslationJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*. 

------

# Use `ListTextTranslationJobs` with an AWS SDK
<a name="translate_example_translate_ListTextTranslationJobs_section"></a>

The following code examples show how to use `ListTextTranslationJobs`.

------
#### [ .NET ]

**SDK for .NET**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples). 

```
    using System;
    using System.Collections.Generic;
    using System.Threading.Tasks;
    using Amazon.Translate;
    using Amazon.Translate.Model;

    /// <summary>
    /// List Amazon Translate translation jobs, along with details about each job.
    /// </summary>
    public class ListTranslationJobs
    {
        public static async Task Main()
        {
            var client = new AmazonTranslateClient();
            var filter = new TextTranslationJobFilter
            {
                JobStatus = "COMPLETED",
            };

            var request = new ListTextTranslationJobsRequest
            {
                MaxResults = 10,
                Filter = filter,
            };

            await ListJobsAsync(client, request);
        }

        /// <summary>
        /// List Amazon Translate text translation jobs.
        /// </summary>
        /// <param name="client">The initialized Amazon Translate client object.</param>
        /// <param name="request">An Amazon Translate
        /// ListTextTranslationJobsRequest object detailing which text
        /// translation jobs are of interest.</param>
        public static async Task ListJobsAsync(
            AmazonTranslateClient client,
            ListTextTranslationJobsRequest request)
        {
            ListTextTranslationJobsResponse response;

            do
            {
                response = await client.ListTextTranslationJobsAsync(request);
                ShowTranslationJobDetails(response.TextTranslationJobPropertiesList);

                request.NextToken = response.NextToken;
            }
            while (response.NextToken is not null);
        }

        /// <summary>
        /// List existing translation job details.
        /// </summary>
        /// <param name="properties">A list of Amazon Translate text
        /// translation jobs.</param>
        public static void ShowTranslationJobDetails(List<TextTranslationJobProperties> properties)
        {
            properties.ForEach(prop =>
            {
                Console.WriteLine($"{prop.JobId}: {prop.JobName}");
                Console.WriteLine($"Status: {prop.JobStatus}");
                Console.WriteLine($"Submitted time: {prop.SubmittedTime}");
            });
        }
    }
```
+  For API details, see [ListTextTranslationJobs](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/ListTextTranslationJobs) in *AWS SDK for .NET API Reference*. 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/xl8#code-examples). 

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

    DATA lo_filter TYPE REF TO /aws1/cl_xl8textxlationjobfilt.

    "Create an ABAP object for filtering using jobname."
    lo_filter = NEW #( iv_jobname = iv_jobname ).

    TRY.
        oo_result = lo_xl8->listtexttranslationjobs(      "oo_result is returned for testing purposes."
          io_filter        = lo_filter ).
        MESSAGE 'Jobs retrieved.' TYPE 'I'.
      CATCH /aws1/cx_xl8internalserverex.
        MESSAGE 'An internal server error occurred. Retry your request.' TYPE 'E'.
      CATCH /aws1/cx_xl8invalidfilterex.
        MESSAGE 'The filter specified for the operation is not valid. Specify a different filter.' TYPE 'E'.
      CATCH /aws1/cx_xl8invalidrequestex.
        MESSAGE 'The request that you made is not valid.' TYPE 'E'.
      CATCH /aws1/cx_xl8toomanyrequestsex.
        MESSAGE 'You have made too many requests within a short period of time.' TYPE 'E'.
    ENDTRY.
```
+  For API details, see [ListTextTranslationJobs](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*. 

------

# Use `StartTextTranslationJob` with an AWS SDK
<a name="translate_example_translate_StartTextTranslationJob_section"></a>

The following code examples show how to use `StartTextTranslationJob`.

Action examples are code excerpts from larger programs and must be run in context. You can see this action in context in the following code example: 
+  [Get started with translate jobs](translate_example_translate_Scenario_GettingStarted_section.md) 

------
#### [ .NET ]

**SDK for .NET**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples). 

```
    using System;
    using System.Collections.Generic;
    using System.Threading.Tasks;
    using Amazon.Translate;
    using Amazon.Translate.Model;

    /// <summary>
    /// This example shows how to use Amazon Translate to process the files in
    /// an Amazon Simple Storage Service (Amazon S3) bucket. The translated results
    /// will also be stored in an Amazon S3 bucket.
    /// </summary>
    public class BatchTranslate
    {
        public static async Task Main()
        {
            var contentType = "text/plain";

            // Set this variable to an S3 bucket location with a folder."
            // Input files must be in a folder and not at the bucket root."
            var s3InputUri = "s3://amzn-s3-demo-bucket1/FOLDER/";
            var s3OutputUri = "s3://amzn-s3-demo-bucket2/";

            // This role must have permissions to read the source bucket and to read and
            // write to the destination bucket where the translated text will be stored.
            var dataAccessRoleArn = "arn:aws:iam::0123456789ab:role/S3TranslateRole";

            var client = new AmazonTranslateClient();

            var inputConfig = new InputDataConfig
            {
                ContentType = contentType,
                S3Uri = s3InputUri,
            };

            var outputConfig = new OutputDataConfig
            {
                S3Uri = s3OutputUri,
            };

            var request = new StartTextTranslationJobRequest
            {
                JobName = "ExampleTranslationJob",
                DataAccessRoleArn = dataAccessRoleArn,
                InputDataConfig = inputConfig,
                OutputDataConfig = outputConfig,
                SourceLanguageCode = "en",
                TargetLanguageCodes = new List<string> { "fr" },
            };

            var response = await StartTextTranslationAsync(client, request);

            if (response.HttpStatusCode == System.Net.HttpStatusCode.OK)
            {
                Console.WriteLine($"{response.JobId}: {response.JobStatus}");
            }
        }

        /// <summary>
        /// Start the Amazon Translate text translation job.
        /// </summary>
        /// <param name="client">The initialized AmazonTranslateClient object.</param>
        /// <param name="request">The request object that includes details such
        /// as source and destination bucket names and the IAM Role that will
        /// be used to access the buckets.</param>
        /// <returns>The StartTextTranslationResponse object that includes the
        /// details of the request response.</returns>
        public static async Task<StartTextTranslationJobResponse> StartTextTranslationAsync(AmazonTranslateClient client, StartTextTranslationJobRequest request)
        {
            var response = await client.StartTextTranslationJobAsync(request);
            return response;
        }
    }
```
+  For API details, see [StartTextTranslationJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/StartTextTranslationJob) in *AWS SDK for .NET API Reference*. 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/xl8#code-examples). 

```
    "Starts an asynchronous batch translation job."
    "Use batch translation jobs to translate large volumes of text across multiple documents at once."

    DATA lo_inputdataconfig  TYPE REF TO /aws1/cl_xl8inputdataconfig.
    DATA lo_outputdataconfig TYPE REF TO /aws1/cl_xl8outputdataconfig.
    DATA lt_targetlanguagecodes TYPE /aws1/cl_xl8tgtlanguagecodes00=>tt_targetlanguagecodestrlist.
    DATA lo_targetlanguagecodes TYPE REF TO /aws1/cl_xl8tgtlanguagecodes00.

    "Create an ABAP object for the input data config."
    lo_inputdataconfig = NEW #( iv_s3uri = iv_input_data_s3uri
                                iv_contenttype = iv_input_data_contenttype ).

    "Create an ABAP object for the output data config."
    lo_outputdataconfig = NEW #( iv_s3uri = iv_output_data_s3uri ).

    "Create an internal table for target languages."
    lo_targetlanguagecodes = NEW #( iv_value = iv_targetlanguagecode ).
    INSERT lo_targetlanguagecodes  INTO TABLE lt_targetlanguagecodes.

    TRY.
        oo_result = lo_xl8->starttexttranslationjob(      "oo_result is returned for testing purposes."
          io_inputdataconfig = lo_inputdataconfig
            io_outputdataconfig = lo_outputdataconfig
            it_targetlanguagecodes = lt_targetlanguagecodes
            iv_dataaccessrolearn = iv_dataaccessrolearn
            iv_jobname = iv_jobname
            iv_sourcelanguagecode = iv_sourcelanguagecode ).
        MESSAGE 'Translation job started.' TYPE 'I'.
      CATCH /aws1/cx_xl8internalserverex.
        MESSAGE 'An internal server error occurred. Retry your request.' TYPE 'E'.
      CATCH /aws1/cx_xl8invparamvalueex.
        MESSAGE 'The value of the parameter is not valid.' TYPE 'E'.
      CATCH /aws1/cx_xl8invalidrequestex.
        MESSAGE 'The request that you made is not valid.' TYPE 'E'.
      CATCH /aws1/cx_xl8resourcenotfoundex.
        MESSAGE 'The resource you are looking for has not been found.' TYPE 'E'.
      CATCH /aws1/cx_xl8toomanyrequestsex.
        MESSAGE 'You have made too many requests within a short period of time.' TYPE 'E'.
      CATCH /aws1/cx_xl8unsuppedlanguage00.
        MESSAGE 'Amazon Translate does not support translation from the language of the source text into the requested target language.' TYPE 'E'.
    ENDTRY.
```
+  For API details, see [StartTextTranslationJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*. 

------

# Use `StopTextTranslationJob` with an AWS SDK
<a name="translate_example_translate_StopTextTranslationJob_section"></a>

The following code examples show how to use `StopTextTranslationJob`.

------
#### [ .NET ]

**SDK for .NET**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples). 

```
    using System;
    using System.Threading.Tasks;
    using Amazon.Translate;
    using Amazon.Translate.Model;

    /// <summary>
    /// Shows how to stop a running Amazon Translation Service text translation
    /// job.
    /// </summary>
    public class StopTextTranslationJob
    {
        public static async Task Main()
        {
            var client = new AmazonTranslateClient();
            var jobId = "1234567890abcdef01234567890abcde";

            var request = new StopTextTranslationJobRequest
            {
                JobId = jobId,
            };

            await StopTranslationJobAsync(client, request);
        }

        /// <summary>
        /// Sends a request to stop a text translation job.
        /// </summary>
        /// <param name="client">Initialized AmazonTrnslateClient object.</param>
        /// <param name="request">The request object to be passed to the
        /// StopTextJobAsync method.</param>
        public static async Task StopTranslationJobAsync(
            AmazonTranslateClient client,
            StopTextTranslationJobRequest request)
        {
            var response = await client.StopTextTranslationJobAsync(request);
            if (response.HttpStatusCode == System.Net.HttpStatusCode.OK)
            {
                Console.WriteLine($"{response.JobId} as status: {response.JobStatus}");
            }
        }
    }
```
+  For API details, see [StopTextTranslationJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/StopTextTranslationJob) in *AWS SDK for .NET API Reference*. 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/xl8#code-examples). 

```
    "Stops an asynchronous batch translation job that is in progress."

    TRY.
        oo_result = lo_xl8->stoptexttranslationjob(      "oo_result is returned for testing purposes."
          iv_jobid        = iv_jobid ).
        MESSAGE 'Translation job stopped.' TYPE 'I'.
      CATCH /aws1/cx_xl8internalserverex.
        MESSAGE 'An internal server error occurred.' TYPE 'E'.
      CATCH /aws1/cx_xl8resourcenotfoundex.
        MESSAGE 'The resource you are looking for has not been found.' TYPE 'E'.
      CATCH /aws1/cx_xl8toomanyrequestsex.
        MESSAGE 'You have made too many requests within a short period of time.' TYPE 'E'.
    ENDTRY.
```
+  For API details, see [StopTextTranslationJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*. 

------

# Use `TranslateText` with an AWS SDK or CLI
<a name="translate_example_translate_TranslateText_section"></a>

The following code examples show how to use `TranslateText`.

------
#### [ .NET ]

**SDK for .NET**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples). 

```
    using System;
    using System.IO;
    using System.Threading.Tasks;
    using Amazon.S3;
    using Amazon.S3.Transfer;
    using Amazon.Translate;
    using Amazon.Translate.Model;

    /// <summary>
    /// Take text from a file stored a Amazon Simple Storage Service (Amazon S3)
    /// object and translate it using the Amazon Transfer Service.
    /// </summary>
    public class TranslateText
    {
        public static async Task Main()
        {
            // If the region you want to use is different from the region
            // defined for the default user, supply it as a parameter to the
            // Amazon Translate client object constructor.
            var client = new AmazonTranslateClient();

            // Set the source language to "auto" to request Amazon Translate to
            // automatically detect te language of the source text.

            // You can get a list of the languages supposed by Amazon Translate
            // in the Amazon Translate Developer's Guide here:
            //      https://docs.aws.amazon.com/translate/latest/dg/what-is.html
            string srcLang = "en"; // English.
            string destLang = "fr"; // French.

            // The Amazon Simple Storage Service (Amazon S3) bucket where the
            // source text file is stored.
            string srcBucket = "amzn-s3-demo-bucket";
            string srcTextFile = "source.txt";

            var srcText = await GetSourceTextAsync(srcBucket, srcTextFile);
            var destText = await TranslatingTextAsync(client, srcLang, destLang, srcText);

            ShowText(srcText, destText);
        }

        /// <summary>
        /// Use the Amazon S3 TransferUtility to retrieve the text to translate
        /// from an object in an S3 bucket.
        /// </summary>
        /// <param name="srcBucket">The name of the S3 bucket where the
        /// text is stored.
        /// </param>
        /// <param name="srcTextFile">The key of the S3 object that
        /// contains the text to translate.</param>
        /// <returns>A string representing the source text.</returns>
        public static async Task<string> GetSourceTextAsync(string srcBucket, string srcTextFile)
        {
            string srcText = string.Empty;

            var s3Client = new AmazonS3Client();
            TransferUtility utility = new TransferUtility(s3Client);

            using var stream = await utility.OpenStreamAsync(srcBucket, srcTextFile);

            StreamReader file = new System.IO.StreamReader(stream);

            srcText = file.ReadToEnd();
            return srcText;
        }

        /// <summary>
        /// Use the Amazon Translate Service to translate the document from the
        /// source language to the specified destination language.
        /// </summary>
        /// <param name="client">The Amazon Translate Service client used to
        /// perform the translation.</param>
        /// <param name="srcLang">The language of the source text.</param>
        /// <param name="destLang">The destination language for the translated
        /// text.</param>
        /// <param name="text">A string representing the text to ranslate.</param>
        /// <returns>The text that has been translated to the destination
        /// language.</returns>
        public static async Task<string> TranslatingTextAsync(AmazonTranslateClient client, string srcLang, string destLang, string text)
        {
            var request = new TranslateTextRequest
            {
                SourceLanguageCode = srcLang,
                TargetLanguageCode = destLang,
                Text = text,
            };

            var response = await client.TranslateTextAsync(request);

            return response.TranslatedText;
        }

        /// <summary>
        /// Show the original text followed by the translated text.
        /// </summary>
        /// <param name="srcText">The original text to be translated.</param>
        /// <param name="destText">The translated text.</param>
        public static void ShowText(string srcText, string destText)
        {
            Console.WriteLine("Source text:");
            Console.WriteLine(srcText);
            Console.WriteLine();
            Console.WriteLine("Translated text:");
            Console.WriteLine(destText);
        }
    }
```
+  For API details, see [TranslateText](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/TranslateText) in *AWS SDK for .NET API Reference*. 

------
#### [ PowerShell ]

**Tools for PowerShell V4**  
**Example 1: Converts the specified English text to French. The text to convert can also be passed as the -Text parameter.**  

```
"Hello World" | ConvertTo-TRNTargetLanguage -SourceLanguageCode en -TargetLanguageCode fr
```
+  For API details, see [TranslateText](https://docs.aws.amazon.com/powershell/v4/reference) in *AWS Tools for PowerShell Cmdlet Reference (V4)*. 

**Tools for PowerShell V5**  
**Example 1: Converts the specified English text to French. The text to convert can also be passed as the -Text parameter.**  

```
"Hello World" | ConvertTo-TRNTargetLanguage -SourceLanguageCode en -TargetLanguageCode fr
```
+  For API details, see [TranslateText](https://docs.aws.amazon.com/powershell/v5/reference) in *AWS Tools for PowerShell Cmdlet Reference (V5)*. 

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/xl8#code-examples). 

```
    "Translates input text from the source language to the target language."
    TRY.
        oo_result = lo_xl8->translatetext(      "oo_result is returned for testing purposes."
          iv_text        = iv_text
            iv_sourcelanguagecode = iv_sourcelanguagecode
            iv_targetlanguagecode = iv_targetlanguagecode ).
        MESSAGE 'Translation completed.' TYPE 'I'.
      CATCH /aws1/cx_xl8detectedlanguage00.
        MESSAGE 'The confidence that Amazon Comprehend accurately detected the source language is low.' TYPE 'E'.
      CATCH /aws1/cx_xl8internalserverex.
        MESSAGE 'An internal server error occurred.' TYPE 'E'.
      CATCH /aws1/cx_xl8invalidrequestex.
        MESSAGE 'The request that you made is not valid.' TYPE 'E'.
      CATCH /aws1/cx_xl8resourcenotfoundex.
        MESSAGE 'The resource you are looking for has not been found.' TYPE 'E'.
      CATCH /aws1/cx_xl8serviceunavailex.
        MESSAGE 'The Amazon Translate service is temporarily unavailable.' TYPE 'E'.
      CATCH /aws1/cx_xl8textsizelmtexcdex.
        MESSAGE 'The size of the text you submitted exceeds the size limit. ' TYPE 'E'.
      CATCH /aws1/cx_xl8toomanyrequestsex.
        MESSAGE 'You have made too many requests within a short period of time.' TYPE 'E'.
      CATCH /aws1/cx_xl8unsuppedlanguage00.
        MESSAGE 'Amazon Translate does not support translation from the language of the source text into the requested target language. ' TYPE 'E'.
    ENDTRY.
```
+  For API details, see [TranslateText](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*. 

------

# Scenarios for Amazon Translate using AWS SDKs
<a name="translate_code_examples_scenarios"></a>

The following code examples show you how to implement common scenarios in Amazon Translate with AWS SDKs. These scenarios show you how to accomplish specific tasks by calling multiple functions within Amazon Translate or combined with other AWS services. Each scenario includes a link to the complete source code, where you can find instructions on how to set up and run the code. 

Scenarios target an intermediate level of experience to help you understand service actions in context.

**Topics**
+ [Build an Amazon Transcribe streaming app](translate_example_cross_TranscriptionStreamingApp_section.md)
+ [Building an Amazon Lex chatbot](translate_example_cross_LexChatbotLanguages_section.md)
+ [Building an Amazon SNS application](translate_example_cross_SnsPublishSubscription_section.md)
+ [Create an application to analyze customer feedback](translate_example_cross_FSA_section.md)
+ [Get started with translate jobs](translate_example_translate_Scenario_GettingStarted_section.md)

# Build an Amazon Transcribe streaming app
<a name="translate_example_cross_TranscriptionStreamingApp_section"></a>

The following code example shows how to build an app that records, transcribes, and translates live audio in real-time, and emails the results.

------
#### [ JavaScript ]

**SDK for JavaScript (v3)**  
 Shows how to use Amazon Transcribe to build an app that records, transcribes, and translates live audio in real-time, and emails the results using Amazon Simple Email Service (Amazon SES).   
 For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/transcribe-streaming-app).   

**Services used in this example**
+ Amazon Comprehend
+ Amazon SES
+ Amazon Transcribe
+ Amazon Translate

------

# Create an Amazon Lex chatbot to engage your website visitors
<a name="translate_example_cross_LexChatbotLanguages_section"></a>

The following code examples show how to create a chatbot to engage your website visitors.

------
#### [ Java ]

**SDK for Java 2.x**  
 Shows how to use the Amazon Lex API to create a Chatbot within a web application to engage your web site visitors.   
 For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/creating_lex_chatbot).   

**Services used in this example**
+ Amazon Comprehend
+ Amazon Lex
+ Amazon Translate

------
#### [ JavaScript ]

**SDK for JavaScript (v3)**  
 Shows how to use the Amazon Lex API to create a Chatbot within a web application to engage your web site visitors.   
 For complete source code and instructions on how to set up and run, see the full example [Building an Amazon Lex chatbot](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/lex-bot-example.html) in the AWS SDK for JavaScript developer guide.   

**Services used in this example**
+ Amazon Comprehend
+ Amazon Lex
+ Amazon Translate

------

# Build a publish and subscription application that translates messages
<a name="translate_example_cross_SnsPublishSubscription_section"></a>

The following code examples show how to create an application that has subscription and publish functionality and translates messages.

------
#### [ .NET ]

**SDK for .NET**  
 Shows how to use the Amazon Simple Notification Service .NET API to create a web application that has subscription and publish functionality. In addition, this example application also translates messages.   
 For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/cross-service/SubscribePublishTranslate).   

**Services used in this example**
+ Amazon SNS
+ Amazon Translate

------
#### [ Java ]

**SDK for Java 2.x**  
 Shows how to use the Amazon Simple Notification Service Java API to create a web application that has subscription and publish functionality. In addition, this example application also translates messages.   
 For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/creating_sns_sample_app).   
 For complete source code and instructions on how to set up and run the example that uses the Java Async API, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/creating_sns_async).   

**Services used in this example**
+ Amazon SNS
+ Amazon Translate

------
#### [ Kotlin ]

**SDK for Kotlin**  
 Shows how to use the Amazon SNS Kotlin API to create an application that has subscription and publish functionality. In addition, this example application also translates messages.   
 For complete source code and instructions on how to create a web app, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/usecases/subpub_app).   
 For complete source code and instructions on how to create a native Android app, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/usecases/subpub_app_android).   

**Services used in this example**
+ Amazon SNS
+ Amazon Translate

------

# Create an application that analyzes customer feedback and synthesizes audio
<a name="translate_example_cross_FSA_section"></a>

The following code examples show how to create an application that analyzes customer comment cards, translates them from their original language, determines their sentiment, and generates an audio file from the translated text.

------
#### [ .NET ]

**SDK for .NET**  
 This example application analyzes and stores customer feedback cards. Specifically, it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback from guests in various languages in the form of physical comment cards. That feedback is uploaded into the app through a web client. After an image of a comment card is uploaded, the following steps occur:   
+ Text is extracted from the image using Amazon Textract.
+ Amazon Comprehend determines the sentiment of the extracted text and its language.
+ The extracted text is translated to English using Amazon Translate.
+ Amazon Polly synthesizes an audio file from the extracted text.
 The full app can be deployed with the AWS CDK. For source code and deployment instructions, see the project in [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/cross-service/FeedbackSentimentAnalyzer).   

**Services used in this example**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

------
#### [ Java ]

**SDK for Java 2.x**  
 This example application analyzes and stores customer feedback cards. Specifically, it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback from guests in various languages in the form of physical comment cards. That feedback is uploaded into the app through a web client. After an image of a comment card is uploaded, the following steps occur:   
+ Text is extracted from the image using Amazon Textract.
+ Amazon Comprehend determines the sentiment of the extracted text and its language.
+ The extracted text is translated to English using Amazon Translate.
+ Amazon Polly synthesizes an audio file from the extracted text.
 The full app can be deployed with the AWS CDK. For source code and deployment instructions, see the project in [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/creating_fsa_app).   

**Services used in this example**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

------
#### [ JavaScript ]

**SDK for JavaScript (v3)**  
 This example application analyzes and stores customer feedback cards. Specifically, it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback from guests in various languages in the form of physical comment cards. That feedback is uploaded into the app through a web client. After an image of a comment card is uploaded, the following steps occur:   
+ Text is extracted from the image using Amazon Textract.
+ Amazon Comprehend determines the sentiment of the extracted text and its language.
+ The extracted text is translated to English using Amazon Translate.
+ Amazon Polly synthesizes an audio file from the extracted text.
 The full app can be deployed with the AWS CDK. For source code and deployment instructions, see the project in [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/feedback-sentiment-analyzer). The following excerpts show how the AWS SDK for JavaScript is used inside of Lambda functions.   

```
import {
  ComprehendClient,
  DetectDominantLanguageCommand,
  DetectSentimentCommand,
} from "@aws-sdk/client-comprehend";

/**
 * Determine the language and sentiment of the extracted text.
 *
 * @param {{ source_text: string}} extractTextOutput
 */
export const handler = async (extractTextOutput) => {
  const comprehendClient = new ComprehendClient({});

  const detectDominantLanguageCommand = new DetectDominantLanguageCommand({
    Text: extractTextOutput.source_text,
  });

  // The source language is required for sentiment analysis and
  // translation in the next step.
  const { Languages } = await comprehendClient.send(
    detectDominantLanguageCommand,
  );

  const languageCode = Languages[0].LanguageCode;

  const detectSentimentCommand = new DetectSentimentCommand({
    Text: extractTextOutput.source_text,
    LanguageCode: languageCode,
  });

  const { Sentiment } = await comprehendClient.send(detectSentimentCommand);

  return {
    sentiment: Sentiment,
    language_code: languageCode,
  };
};
```

```
import {
  DetectDocumentTextCommand,
  TextractClient,
} from "@aws-sdk/client-textract";

/**
 * Fetch the S3 object from the event and analyze it using Amazon Textract.
 *
 * @param {import("@types/aws-lambda").EventBridgeEvent<"Object Created">} eventBridgeS3Event
 */
export const handler = async (eventBridgeS3Event) => {
  const textractClient = new TextractClient();

  const detectDocumentTextCommand = new DetectDocumentTextCommand({
    Document: {
      S3Object: {
        Bucket: eventBridgeS3Event.bucket,
        Name: eventBridgeS3Event.object,
      },
    },
  });

  // Textract returns a list of blocks. A block can be a line, a page, word, etc.
  // Each block also contains geometry of the detected text.
  // For more information on the Block type, see https://docs.aws.amazon.com/textract/latest/dg/API_Block.html.
  const { Blocks } = await textractClient.send(detectDocumentTextCommand);

  // For the purpose of this example, we are only interested in words.
  const extractedWords = Blocks.filter((b) => b.BlockType === "WORD").map(
    (b) => b.Text,
  );

  return extractedWords.join(" ");
};
```

```
import { PollyClient, SynthesizeSpeechCommand } from "@aws-sdk/client-polly";
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";

/**
 * Synthesize an audio file from text.
 *
 * @param {{ bucket: string, translated_text: string, object: string}} sourceDestinationConfig
 */
export const handler = async (sourceDestinationConfig) => {
  const pollyClient = new PollyClient({});

  const synthesizeSpeechCommand = new SynthesizeSpeechCommand({
    Engine: "neural",
    Text: sourceDestinationConfig.translated_text,
    VoiceId: "Ruth",
    OutputFormat: "mp3",
  });

  const { AudioStream } = await pollyClient.send(synthesizeSpeechCommand);

  const audioKey = `${sourceDestinationConfig.object}.mp3`;

  // Store the audio file in S3.
  const s3Client = new S3Client();
  const upload = new Upload({
    client: s3Client,
    params: {
      Bucket: sourceDestinationConfig.bucket,
      Key: audioKey,
      Body: AudioStream,
      ContentType: "audio/mp3",
    },
  });

  await upload.done();
  return audioKey;
};
```

```
import {
  TranslateClient,
  TranslateTextCommand,
} from "@aws-sdk/client-translate";

/**
 * Translate the extracted text to English.
 *
 * @param {{ extracted_text: string, source_language_code: string}} textAndSourceLanguage
 */
export const handler = async (textAndSourceLanguage) => {
  const translateClient = new TranslateClient({});

  const translateCommand = new TranslateTextCommand({
    SourceLanguageCode: textAndSourceLanguage.source_language_code,
    TargetLanguageCode: "en",
    Text: textAndSourceLanguage.extracted_text,
  });

  const { TranslatedText } = await translateClient.send(translateCommand);

  return { translated_text: TranslatedText };
};
```

**Services used in this example**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

------
#### [ Ruby ]

**SDK for Ruby**  
 This example application analyzes and stores customer feedback cards. Specifically, it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback from guests in various languages in the form of physical comment cards. That feedback is uploaded into the app through a web client. After an image of a comment card is uploaded, the following steps occur:   
+ Text is extracted from the image using Amazon Textract.
+ Amazon Comprehend determines the sentiment of the extracted text and its language.
+ The extracted text is translated to English using Amazon Translate.
+ Amazon Polly synthesizes an audio file from the extracted text.
 The full app can be deployed with the AWS CDK. For source code and deployment instructions, see the project in [ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/cross_service_examples/feedback_sentiment_analyzer).   

**Services used in this example**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

------

# Get started with Amazon Translate jobs using an AWS SDK
<a name="translate_example_translate_Scenario_GettingStarted_section"></a>

The following code example shows how to:
+ Start an asynchronous batch translation job.
+ Wait for the asynchronous job to complete.
+ Describe the asynchronous job.

------
#### [ SAP ABAP ]

**SDK for SAP ABAP**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/xl8#code-examples). 

```
    DATA lo_inputdataconfig  TYPE REF TO /aws1/cl_xl8inputdataconfig.
    DATA lo_outputdataconfig TYPE REF TO /aws1/cl_xl8outputdataconfig.
    DATA lt_targetlanguagecodes TYPE /aws1/cl_xl8tgtlanguagecodes00=>tt_targetlanguagecodestrlist.
    DATA lo_targetlanguagecodes TYPE REF TO /aws1/cl_xl8tgtlanguagecodes00.

    "Create an ABAP object for the input data config."
    lo_inputdataconfig = NEW #( iv_s3uri = iv_input_data_s3uri
                                iv_contenttype = iv_input_data_contenttype ).

    "Create an ABAP object for the output data config."
    lo_outputdataconfig = NEW #( iv_s3uri = iv_output_data_s3uri ).

    "Create an internal table for target languages."
    lo_targetlanguagecodes = NEW #( iv_value = iv_targetlanguagecode ).
    INSERT lo_targetlanguagecodes  INTO TABLE lt_targetlanguagecodes.

    TRY.
        DATA(lo_translationjob_result) = lo_xl8->starttexttranslationjob(
          io_inputdataconfig = lo_inputdataconfig
            io_outputdataconfig = lo_outputdataconfig
            it_targetlanguagecodes = lt_targetlanguagecodes
            iv_dataaccessrolearn = iv_dataaccessrolearn
            iv_jobname = iv_jobname
            iv_sourcelanguagecode = iv_sourcelanguagecode ).
        MESSAGE 'Translation job started.' TYPE 'I'.
      CATCH /aws1/cx_xl8internalserverex.
        MESSAGE 'An internal server error occurred. Retry your request.' TYPE 'E'.
      CATCH /aws1/cx_xl8invparamvalueex.
        MESSAGE 'The value of the parameter is not valid.' TYPE 'E'.
      CATCH /aws1/cx_xl8invalidrequestex.
        MESSAGE 'The request that you made is not valid.' TYPE 'E'.
      CATCH /aws1/cx_xl8resourcenotfoundex.
        MESSAGE 'The resource you are looking for has not been found.' TYPE 'E'.
      CATCH /aws1/cx_xl8toomanyrequestsex.
        MESSAGE 'You have made too many requests within a short period of time. ' TYPE 'E'.
      CATCH /aws1/cx_xl8unsuppedlanguage00.
        MESSAGE 'Amazon Translate does not support translation from the language of the source text into the requested target language.' TYPE 'E'.
    ENDTRY.

    "Get the job ID."
    DATA(lv_jobid) = lo_translationjob_result->get_jobid( ).

    "Wait for translate job to complete."
    DATA(lo_des_translation_result) = lo_xl8->describetexttranslationjob( iv_jobid = lv_jobid ).
    WHILE lo_des_translation_result->get_textxlationjobproperties( )->get_jobstatus( ) <> 'COMPLETED'.
      IF sy-index = 30.
        EXIT.               "Maximum 900 seconds."
      ENDIF.
      WAIT UP TO 30 SECONDS.
      lo_des_translation_result = lo_xl8->describetexttranslationjob( iv_jobid = lv_jobid ).
    ENDWHILE.

    TRY.
        oo_result = lo_xl8->describetexttranslationjob(      "oo_result is returned for testing purposes."
          iv_jobid        = lv_jobid ).
        MESSAGE 'Job description retrieved.' TYPE 'I'.
      CATCH /aws1/cx_xl8internalserverex.
        MESSAGE 'An internal server error occurred. Retry your request.' TYPE 'E'.
      CATCH /aws1/cx_xl8resourcenotfoundex.
        MESSAGE 'The resource you are looking for has not been found.' TYPE 'E'.
      CATCH /aws1/cx_xl8toomanyrequestsex.
        MESSAGE 'You have made too many requests within a short period of time.' TYPE 'E'.
    ENDTRY.
```
+ For API details, see the following topics in *AWS SDK for SAP ABAP API reference*.
  + [DescribeTextTranslationJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)
  + [StartTextTranslationJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)

------