文档 AWS SDK 示例 GitHub 存储库中还有更多 [S AWS DK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)。

本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。

# Amazon Translate 示例使用 适用于 .NET 的 SDK
<a name="csharp_3_translate_code_examples"></a>

以下代码示例向您展示了如何使用 适用于 .NET 的 AWS SDK 与 Amazon Translate 配合使用来执行操作和实现常见场景。

*操作*是大型程序的代码摘录，必须在上下文中运行。您可以通过操作了解如何调用单个服务函数，还可以通过函数相关场景的上下文查看操作。

*场景*是向您演示如何通过在一个服务中调用多个函数或与其他 AWS 服务结合来完成特定任务的代码示例。

每个示例都包含一个指向完整源代码的链接，您可以从中找到有关如何在上下文中设置和运行代码的说明。

**Topics**
+ [操作](#actions)
+ [场景](#scenarios)

## 操作
<a name="actions"></a>

### `DescribeTextTranslationJob`
<a name="translate_DescribeTextTranslationJob_csharp_3_topic"></a>

以下代码示例演示了如何使用 `DescribeTextTranslationJob`。

**适用于 .NET 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    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}");
        }
    }
```
+  有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[DescribeTextTranslationJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/DescribeTextTranslationJob)*中的。

### `ListTextTranslationJobs`
<a name="translate_ListTextTranslationJobs_csharp_3_topic"></a>

以下代码示例演示了如何使用 `ListTextTranslationJobs`。

**适用于 .NET 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    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}");
            });
        }
    }
```
+  有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[ListTextTranslationJobs](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/ListTextTranslationJobs)*中的。

### `StartTextTranslationJob`
<a name="translate_StartTextTranslationJob_csharp_3_topic"></a>

以下代码示例演示了如何使用 `StartTextTranslationJob`。

**适用于 .NET 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    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;
        }
    }
```
+  有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[StartTextTranslationJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/StartTextTranslationJob)*中的。

### `StopTextTranslationJob`
<a name="translate_StopTextTranslationJob_csharp_3_topic"></a>

以下代码示例演示了如何使用 `StopTextTranslationJob`。

**适用于 .NET 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    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}");
            }
        }
    }
```
+  有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[StopTextTranslationJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/StopTextTranslationJob)*中的。

### `TranslateText`
<a name="translate_TranslateText_csharp_3_topic"></a>

以下代码示例演示了如何使用 `TranslateText`。

**适用于 .NET 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Translate#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    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);
        }
    }
```
+  有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[TranslateText](https://docs.aws.amazon.com/goto/DotNetSDKV3/translate-2017-07-01/TranslateText)*中的。

## 场景
<a name="scenarios"></a>

### 构建 Amazon SNS 应用程序
<a name="cross_SnsPublishSubscription_csharp_3_topic"></a>

以下代码示例演示如何创建具有订阅和发布功能并能转换消息的应用程序。

**适用于 .NET 的 SDK**  
 展示如何使用 Amazon Simple Notification Service .NET API 创建具有订阅和发布功能的 Web 应用程序。此外，此示例应用程序还会转换消息。  
 有关如何设置和运行的完整源代码和说明，请参阅上的完整示例[GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/cross-service/SubscribePublishTranslate)。  

**本示例中使用的服务**
+ Amazon SNS
+ Amazon Translate

### 创建用于分析客户反馈的应用程序
<a name="cross_FSA_csharp_3_topic"></a>

以下代码示例说明如何创建应用程序来分析客户意见卡、翻译其母语、确定其情绪并根据译后的文本生成音频文件。

**适用于 .NET 的 SDK**  
 此示例应用程序可分析并存储客户反馈卡。具体来说，它满足了纽约市一家虚构酒店的需求。酒店以实体意见卡的形式收集来自不同语种的客人的反馈。该反馈通过 Web 客户端上传到应用程序中。意见卡图片上传后，将执行以下步骤：  
+ 使用 Amazon Textract 从图片中提取文本。
+ Amazon Comprehend 确定所提取文本的情绪及其语言。
+ 使用 Amazon Translate 将所提取文本翻译为英语。
+ Amazon Polly 根据所提取文本合成音频文件。
 完整的应用程序可使用  AWS CDK 进行部署。有关源代码和部署说明，请参阅中的项目[ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/cross-service/FeedbackSentimentAnalyzer)。  

**本示例中使用的服务**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate