Merge pull request #5375 from MicrosoftDocs/main

Taojunshen · web-flow · commit c6cc5fa04988 · 2025-06-05T06:02:21.000+08:00
6/4/2025 PM Publish
diff --git a/articles/ai-services/language-service/concepts/developer-guide.md b/articles/ai-services/language-service/concepts/developer-guide.md
@@ -6,13 +6,13 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: conceptual
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ---
 
 # SDK and REST developer guide for the Language service
 
-Use this article to find information on integrating the Language service SDKs and REST API into your applications. 
+Use this article to find information on integrating the Language service SDK and REST API into your applications. 
 
 ## Development options
 
@@ -22,14 +22,14 @@ The Language service provides support through a REST API, and client libraries i
 
 ## Client libraries (Azure SDK)
 
-The Language service provides three namespaces for using the available features. Depending on which features and programming language you're using, you will need to download one or more of the following packages, and have the following framework/language version support:
+The Language service provides three namespaces for using the available features. Depending on which features and programming language you're using, you'll need to download one or more of the following packages, and have the following framework/language version support:
 
 |Framework/Language  | Minimum supported version  |
 |---------|---------|
-|.NET     | .NET Framework 4.6.1 or newer, or .NET (formerly .NET Core) 2.0 or newer.       |
-|Java     | v8 or later        |
-|JavaScript     | v14 LTS or later        |
-|Python| v3.7 or later        |
+|.NET     | .NET Framework `4.6.1` or newer, or .NET (formerly .NET Core) `2.0` or newer.       |
+|Java     | `v8` or later        |
+|JavaScript     | `v14 LTS` or later        |
+|Python| `v3.7` or later        |
 
 ### Azure.AI.TextAnalytics  
 
@@ -38,7 +38,7 @@ The Language service provides three namespaces for using the available features.
 > * [Custom named entity recognition](../custom-named-entity-recognition/quickstart.md)
 > * [Custom text classification](../custom-text-classification/quickstart.md)
 
-The `Azure.AI.TextAnalytics` namespace enables you to use the following Language features. Use the links below for articles to help you send API requests using the SDK.
+The `Azure.AI.TextAnalytics` namespace enables you to use the following Language features. Use the following links for articles to help you send API requests using the SDK.
 
 * [Custom named entity recognition](../custom-named-entity-recognition/how-to/call-api.md?tabs=client#send-an-entity-recognition-request-to-your-model)
 * [Custom text classification](../custom-text-classification/how-to/call-api.md?tabs=client-libraries#send-a-text-classification-request-to-your-model)
@@ -63,11 +63,11 @@ As you use these features in your application, use the following documentation a
 ### Azure.AI.Language.Conversations 
 
 > [!NOTE] 
-> If you're using conversational language understanding or orchestration workflow, you will need to create a project and train a model before using the SDK. The SDK only provides the ability to analyze text using models you create. See the following quickstarts for more information. 
+> If you're using conversational language understanding or orchestration workflow, you'll need to create a project and train a model before using the SDK. The SDK only provides the ability to analyze text using models you create. See the following quickstarts for more information. 
 > * [Conversational language understanding](../conversational-language-understanding/quickstart.md)
 > * [Orchestration workflow](../orchestration-workflow/quickstart.md)
 
-The `Azure.AI.Language.Conversations` namespace enables you to use the following Language features. Use the links below for articles to help you send API requests using the SDK.
+The `Azure.AI.Language.Conversations` namespace enables you to use the following Language features. Use the following links for articles to help you send API requests using the SDK.
 
 * [Conversational language understanding](../conversational-language-understanding/how-to/call-api.md?tabs=azure-sdk#send-a-conversational-language-understanding-request)
 * [Orchestration workflow](../orchestration-workflow/how-to/call-api.md?tabs=azure-sdk#send-an-orchestration-workflow-request)
diff --git a/articles/ai-services/language-service/concepts/language-support.md b/articles/ai-services/language-service/concepts/language-support.md
@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: conceptual
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ---
 
diff --git a/articles/ai-services/language-service/entity-linking/overview.md b/articles/ai-services/language-service/entity-linking/overview.md
@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: overview
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ms.custom: language-service-entity-linking
 ---
diff --git a/articles/ai-services/language-service/key-phrase-extraction/tutorials/integrate-power-bi.md b/articles/ai-services/language-service/key-phrase-extraction/tutorials/integrate-power-bi.md
@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: tutorial
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ms.custom: language-service-key-phrase, cogserv-non-critical-language
 ---
diff --git a/articles/ai-services/language-service/orchestration-workflow/overview.md b/articles/ai-services/language-service/orchestration-workflow/overview.md
@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: overview
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ms.custom: language-service-orchestration
 ---
@@ -32,7 +32,7 @@ Orchestration workflow can be used in multiple scenarios across a variety of ind
 
 ### Enterprise chat bot
 
-In a large corporation, an enterprise chat bot may handle a variety of employee affairs. It may be able to handle frequently asked questions served by a custom question answering knowledge base, a calendar specific skill served by conversational language understanding, and an interview feedback skill served by LUIS. The bot needs to be able to appropriately route incoming requests to the correct service. Orchestration workflow allows you to connect those skills to one project that handles the routing of incoming requests appropriately to power the enterprise bot.
+In a large corporation, an enterprise chat bot might handle a variety of employee affairs. It might be able to handle frequently asked questions served by a custom question answering knowledge base, a calendar specific skill served by conversational language understanding, and an interview feedback skill served by LUIS. The bot needs to be able to appropriately route incoming requests to the correct service. Orchestration workflow allows you to connect those skills to one project that handles the routing of incoming requests appropriately to power the enterprise bot.
 
 ## Project development lifecycle
 
diff --git a/articles/ai-services/language-service/personally-identifiable-information/concepts/entity-categories.md b/articles/ai-services/language-service/personally-identifiable-information/concepts/entity-categories.md
@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: conceptual
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ms.custom: language-service-pii
 ---
diff --git a/articles/ai-services/language-service/question-answering/how-to/create-test-deploy.md b/articles/ai-services/language-service/question-answering/how-to/create-test-deploy.md
@@ -5,7 +5,7 @@ ms.service: azure-ai-language
 ms.topic: how-to
 author: laujan
 ms.author: lajanuar
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.custom: language-service-question-answering, mode-other
 ---
 
@@ -23,12 +23,12 @@ You can create a custom question answering project from your own content, such a
 
 1. Sign in to the [Language Studio](https://language.azure.com/) with your Azure credentials.
 
-2. Scroll down to the **Understand questions and conversational language** section and select **Open custom question answering**.
+2. Scroll down to **Understand questions and conversational language** and select **Open custom question answering**.
 
     > [!div class="mx-imgBorder"]
     > ![Open custom question answering](../media/create-test-deploy/open-custom-question-answering.png)
 
-3. If your resource is not yet connected to Azure Search select **Connect to Azure Search**. This will open a new browser tab to **Features** pane of your resource in the Azure portal.
+3. If your resource isn't yet connected to Azure Search select **Connect to Azure Search**. This opens a new browser tab to **Features** pane of your resource in the Azure portal.
 
     > [!div class="mx-imgBorder"]
     > ![Connect to Azure Search](../media/create-test-deploy/connect-to-azure-search.png)
@@ -52,9 +52,9 @@ You can create a custom question answering project from your own content, such a
 
     |URL Name|URL Value|
     |--------|---------|
-    |Surface Book User Guide |https://download.microsoft.com/download/7/B/1/7B10C82E-F520-4080-8516-5CF0D803EEE0/surface-book-user-guide-EN.pdf |
+    |Surface Book User Guide |`https://download.microsoft.com/download/7/B/1/7B10C82E-F520-4080-8516-5CF0D803EEE0/surface-book-user-guide-EN.pdf` |
 
-    The extraction process takes a few moments to read the document and identify questions and answers. Question and answering will determine if the underlying content is structured or unstructured.
+    The extraction process takes a few moments to read the document and identify questions and answers. The service determines if the underlying content is structured or unstructured.
 
     After successfully adding the source, you can then edit the source contents to add more custom question answer sets.
 
@@ -78,7 +78,7 @@ You can create a custom question answering project from your own content, such a
 
 ## Deploy your project
 
-1. Select the Deploy project icon to enter the deploy project menu.
+1. Select the **Deploy** project icon to enter the deploy project menu.
 
     > [!div class="mx-imgBorder"]
     > ![Deploy project](../media/create-test-deploy/deploy-knowledge-base.png)
diff --git a/articles/ai-services/language-service/question-answering/tutorials/bot-service.md b/articles/ai-services/language-service/question-answering/tutorials/bot-service.md
@@ -5,13 +5,13 @@ ms.service: azure-ai-language
 ms.topic: tutorial
 author: laujan
 ms.author: lajanuar
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.custom: language-service-question-answering, cogserv-non-critical-language
 ---
 
-# Tutorial: Create a FAQ bot
+# Tutorial: Create an FAQ bot
 
-Create a FAQ Bot with custom question answering and Azure [Bot Service](https://azure.microsoft.com/services/bot-service/) with no code.
+Create an FAQ Bot with custom question answering and Azure [Bot Service](https://azure.microsoft.com/services/bot-service/) with no code.
 
 In this tutorial, you learn how to:
 
@@ -34,7 +34,7 @@ After deploying your project, you can create a bot from the **Deploy project** p
 
 * When you make changes to the project and redeploy, you don't need to take further action with the bot. It's already configured to work with the project, and works with all future changes to the project. Every time you publish a project, all the bots connected to it are automatically updated.
 
-1. In Language Studio, on the custom question answering **Deploy project** page, select the **Create a bot** button.
+1. In [Language Studio](https://language.azure.com/), on the custom question answering **Deploy project** page, select the **Create a bot** button.
 
     > [!div class="mx-imgBorder"]
     > ![Screenshot of UI with option to create a bot in Azure.](../media/bot-service/create-bot-in-azure.png)
diff --git a/articles/ai-services/language-service/whats-new.md b/articles/ai-services/language-service/whats-new.md
@@ -12,23 +12,38 @@ ms.author: lajanuar
 
 # What's new in Azure AI Language?
 
-Azure AI Language is updated on an ongoing basis. To stay up-to-date with recent developments, this article provides you with information about new releases and features.
+Azure AI Language is updated on an ongoing basis. Bookmark this page to stay up to date with release notes, feature enhancements, and our newest documentation.
 
-## Build 2025 Releases (May 19 - 23)
-We released many new updates alongside the 2025 Microsoft Build Conference including:
--    [Customizing PII detection using your own regex](personally-identifiable-information/how-to/adapt-to-domain-pii.md#customizing-pii-detection-using-your-own-regex-only-available-for-text-pii-container) (only available for Text PII container)
--    Support for customizing PII output by [specifying values to exclude](personally-identifiable-information/how-to/adapt-to-domain-pii.md#customizing-pii-output-by-specifying-values-to-exclude)
--    Customizing PII detection using [Entity Synonyms](personally-identifiable-information/how-to/adapt-to-domain-pii.md#api-schema-for-the-entitysynoyms-parameter)
--    Model support for a new DateOfBirth entity subtype for PII detection.
--    Updates to preview NER & PII API version: `2025-05-15-preview`. This API version includes DateOfBirth support, enhanced phone number AI quality, and umbrella entity type support for BankAccount, Passport, Drivers License
+## May 2025
 
-More on these releases can be found on our TechCommunity Blog Post
+##### New agent templates 
 
-## May 2025
+Azure AI Language now supports the following agent templates:
+
+*  [Intent routing](../agents/concepts/agent-catalog.md): Detects user intent and provides precise answers, ideal for deterministic intent routing, and exact question answering with human oversight.
+
+*   [Exact question answering](../agents/concepts/agent-catalog.md): Delivers consistent, accurate responses to high-value predefined questions through deterministic methods.
+
+##### PII detection enhancements
+
+Azure AI Language introduces new customization and entity subtype features for PII detection:
+
+*  [Customize PII detection using your own regex](personally-identifiable-information/how-to/adapt-to-domain-pii.md#customizing-pii-detection-using-your-own-regex-only-available-for-text-pii-container) (Text PII container only).
+
+*  [Specify values to exclude from PII output](personally-identifiable-information/how-to/adapt-to-domain-pii.md#customizing-pii-output-by-specifying-values-to-exclude).
+
+*  [Use entity synonyms for tailored PII detection](personally-identifiable-information/how-to/adapt-to-domain-pii.md#api-schema-for-the-entitysynoyms-parameter).
+
+##### 2025-05-15-preview release. 
+
+The [latest API preview version](/rest/api/language/operation-groups?view=rest-language-2025-05-15-preview&preserve-view=true) includes updates for named entity recognition (NER) and PII detection:
+
+* New entity type support for `DateOfBirth`, `BankAccountNumber`, `PassportNumber`, and `DriversLicenseNumber`.
+
+* Improved AI quality for `PhoneNumber` entity type.
+
+To learn more, see our latest [TechCommunity Blog Post](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/announcing-azure-ai-language-new-features-to-accelerate-your-agent-development/4415216).
 
-* Azure AI Language now supports the following agent templates:
-    *   [Intent routing](../agents/concepts/agent-catalog.md) detects user intent and provides exact answering. Perfect for deterministically intent routing and exact question answering with human controls.
-    *   [Exact question answering](../agents/concepts/agent-catalog.md) answers high-value predefined questions deterministically to ensure consistent and accurate responses.
 
 ## April 2025
 
