Merge pull request #5378 from aahill/lang-freshness

prmerger-automator[bot] · web-flow · commit c3b363e21053 · 2025-06-04T22:54:59.000Z
acrolinx pass
diff --git a/articles/ai-services/language-service/conversational-language-understanding/concepts/entity-components.md b/articles/ai-services/language-service/conversational-language-understanding/concepts/entity-components.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-clu
 ---
diff --git a/articles/ai-services/language-service/conversational-language-understanding/concepts/evaluation-metrics.md b/articles/ai-services/language-service/conversational-language-understanding/concepts/evaluation-metrics.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-clu
 ---
diff --git a/articles/ai-services/language-service/conversational-language-understanding/faq.md b/articles/ai-services/language-service/conversational-language-understanding/faq.md
@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: faq
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ms.custom: mode-other
 ---
diff --git a/articles/ai-services/language-service/conversational-language-understanding/how-to/call-api.md b/articles/ai-services/language-service/conversational-language-understanding/how-to/call-api.md
@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: how-to
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.author: lajanuar
 ms.custom: language-service-clu
 ---
@@ -18,7 +18,7 @@ You can query the deployment programmatically through the [prediction API](https
 
 ## Test deployed model
 
-You can use Language Studio to submit an utterance, get predictions and visualize the results.
+You can use Language Studio to submit an utterance, get predictions, and visualize the results.
 
 [!INCLUDE [Test model](../includes/language-studio/test-model.md)]
 
@@ -32,7 +32,7 @@ You can use Language Studio to submit an utterance, get predictions and visualiz
 
 # [REST APIs](#tab/REST-APIs)
 
-First you will need to get your resource key and endpoint:
+First you'll need to get your resource key and endpoint:
 
 [!INCLUDE [Get keys and endpoint Azure Portal](../includes/get-keys-endpoint-azure.md)]
 
@@ -53,7 +53,7 @@ You can also use the client libraries provided by the Azure SDK to send requests
 
 1. Go to your resource overview page in the [Azure portal](https://portal.azure.com/#home)
 
-2. From the menu on the left side, select **Keys and Endpoint**. Use endpoint for the API requests and you will need the key for `Ocp-Apim-Subscription-Key` header.
+2. From the menu on the left side, select **Keys and Endpoint**. Use endpoint for the API requests and you'll need the key for `Ocp-Apim-Subscription-Key` header.
 
     :::image type="content" source="../../custom-text-classification/media/get-endpoint-azure.png" alt-text="A screenshot showing a key and endpoint in the Azure portal." lightbox="../../custom-text-classification/media/get-endpoint-azure.png":::
 
diff --git a/articles/ai-services/language-service/conversational-language-understanding/prebuilt-component-reference.md b/articles/ai-services/language-service/conversational-language-understanding/prebuilt-component-reference.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-clu
 ---
diff --git a/articles/ai-services/language-service/conversational-language-understanding/service-limits.md b/articles/ai-services/language-service/conversational-language-understanding/service-limits.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-clu, references_regions
 ---
diff --git a/articles/ai-services/language-service/question-answering/how-to/migrate-qnamaker-to-question-answering.md b/articles/ai-services/language-service/question-answering/how-to/migrate-qnamaker-to-question-answering.md
@@ -6,10 +6,10 @@ ms.author: lajanuar
 author: laujan
 ms.manager: nitinme
 ms.topic: how-to
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.custom: language-service-question-answering
 ---
-# Migrate from QnA Maker to custom question answering 
+# Migrate from QnA Maker to Custom question answering 
 
 **Purpose of this document:** This article aims to provide information that can be used to successfully migrate applications that use QnA Maker to custom question answering. Using this article, we hope customers gain clarity on the following: 
 
@@ -23,7 +23,7 @@ ms.custom: language-service-question-answering
 **Intended Audience:** Existing QnA Maker customers
 
 > [!IMPORTANT]
-> Custom question Answering, a feature of Azure AI Language was introduced in November 2021 with several new capabilities including enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support. Each custom question answering project is equivalent to a knowledge base in QnA Maker. Resource level settings such as Role-based access control (RBAC) aren't migrated to the new resource. These resource level settings would have to be reconfigured for the language resource post migration:
+> Custom question Answering, a feature of Azure AI Language was introduced in November 2021 with several new capabilities including enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support. Each Custom question answering project is equivalent to a knowledge base in QnA Maker. Resource level settings such as Role-based access control (RBAC) aren't migrated to the new resource. These resource level settings would have to be reconfigured for the language resource post migration:
 >
 >  - Automatic RBAC to Language project (not resource)
 >  - Automatic enabling of analytics.
@@ -113,7 +113,7 @@ This topic compares two hypothetical scenarios when migrating from QnA Maker to
 > An attempt has been made to ensure these scenarios are representative of real customer migrations, however, individual customer scenarios differ. Also, this article doesn't include pricing details. Visit the [pricing](https://azure.microsoft.com/pricing/details/cognitive-services/language-service/) page for more information.
 
 > [!IMPORTANT] 
-> Each custom question answering project is equivalent to a knowledge base in QnA Maker. Resource level settings such as Role-based access control (RBAC) aren't migrated to the new resource. These resource level settings would have to be reconfigured for the language resource post migration. You'll also need to [re-enable analytics](analytics.md) for the language resource.
+> Each Custom question answering project is equivalent to a knowledge base in QnA Maker. Resource level settings such as Role-based access control (RBAC) aren't migrated to the new resource. These resource level settings would have to be reconfigured for the language resource post migration. You'll also need to [re-enable analytics](analytics.md) for the language resource.
 
 ### Migration scenario 1: No custom authoring portal
 
diff --git a/articles/ai-services/language-service/question-answering/how-to/migrate-qnamaker.md b/articles/ai-services/language-service/question-answering/how-to/migrate-qnamaker.md
@@ -5,13 +5,13 @@ ms.service: azure-ai-language
 ms.topic: how-to
 ms.author: lajanuar
 author: laujan
-ms.date: 11/21/2024
+ms.date: 06/04/2025
 ms.custom: language-service-question-answering
 ---
 
 # Migrate from QnA Maker knowledge bases to custom question answering
 
-Custom question answering, a feature of Azure AI Language was introduced in May 2021 with several new capabilities including enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support. Each custom question answering project is equivalent to a knowledge base in QnA Maker. You can easily migrate knowledge bases from a QnA Maker resource to custom question answering projects within a [language resource](https://aka.ms/create-language-resource). You can also choose to migrate knowledge bases from multiple QnA Maker resources to a specific language resource.
+Custom question answering, a feature of Azure AI Language was introduced in May 2021 with several new capabilities including enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support. Each Custom question answering project is equivalent to a knowledge base in QnA Maker. You can easily migrate knowledge bases from a QnA Maker resource to custom question answering projects within a [language resource](https://aka.ms/create-language-resource). You can also choose to migrate knowledge bases from multiple QnA Maker resources to a specific language resource.
 
 To successfully migrate knowledge bases, **the account performing the migration needs contributor access to the selected QnA Maker and language resource**. When a knowledge base is migrated, the following details are copied to the new custom question answering project:
 
