fixes

Author: aahill

articles/ai-services/language-service/question-answering/how-to/migrate-qnamaker.md

@@ -23,11 +23,11 @@ To successfully migrate knowledge bases, **the account performing the migration
 - Synonyms and default answer from the QnA Maker resource.
 - Knowledge base name is copied to project description field.
 
-Resource level settings such as Role-based access control (RBAC) are not migrated to the new resource. These resource level settings would have to be reconfigured for the language resource post migration. You will also need to [re-enable analytics](analytics.md) for the language resource.
+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.
 
 ## Steps to migrate SDKs
 
-This [SDK Migration Guide](https://github.com/Azure/azure-sdk-for-net/blob/Azure.AI.Language.QuestionAnswering_1.1.0-beta.1/sdk/cognitivelanguage/Azure.AI.Language.QuestionAnswering/MigrationGuide.md) is intended to assist in the migration to the new Question Answering client library, [Azure.AI.Language.QuestionAnswering](https://www.nuget.org/packages/Azure.AI.Language.QuestionAnswering), from the old one, [Microsoft.Azure.CognitiveServices.Knowledge.QnAMaker](https://www.nuget.org/packages/Microsoft.Azure.CognitiveServices.Knowledge.QnAMaker). It will focus on side-by-side comparisons for similar operations between the two packages.
+This [SDK Migration Guide](https://github.com/Azure/azure-sdk-for-net/blob/Azure.AI.Language.QuestionAnswering_1.1.0-beta.1/sdk/cognitivelanguage/Azure.AI.Language.QuestionAnswering/MigrationGuide.md) is intended to help the migration to the new Question Answering client library, [Azure.AI.Language.QuestionAnswering](https://www.nuget.org/packages/Azure.AI.Language.QuestionAnswering), from the old one, [Microsoft.Azure.CognitiveServices.Knowledge.QnAMaker](https://www.nuget.org/packages/Microsoft.Azure.CognitiveServices.Knowledge.QnAMaker). It focuses on side-by-side comparisons for similar operations between the two packages.
 
 ## Steps to migrate knowledge bases
 
@@ -95,7 +95,7 @@ You can follow the steps below to migrate knowledge bases:
 
     Once you resolve these errors, you can rerun the migration.
 
-11. The migration will only copy the test instances of your knowledge bases. Once your migration is complete, you will need to manually deploy the knowledge bases to copy the test index to the production index.
+11. The migration will only copy the test instances of your knowledge bases. Once your migration is complete, you need to manually deploy the knowledge bases to copy the test index to the production index.
 
 ## Next steps
 

articles/ai-services/qnamaker/How-To/migrate-to-openai.md

@@ -12,7 +12,7 @@ ms.date: 09/08/2023
 
 # Migrate QnA Maker to Azure OpenAI on your data 
 
-QnA Maker was designed to be a cloud-based Natural Language Processing (NLP) service that allowed users to create a natural conversational layer over their data. This service is being retired, having been replaced by [custom question answering](../../language-service/question-answering/overview.md). AI runtimes however, are evolving due to the development of Large Language Models (LLMs), such as GPT-35-Turbo and GPT-4 offered by [Azure OpenAI](../../openai/overview.md) which can address many chat-based use cases. Use this article to learn how to migrate your existing QnA Maker projects to Azure OpenAI. 
+QnA Maker was designed to be a cloud-based Natural Language Processing (NLP) service that allowed users to create a natural conversational layer over their data. This service is being retired, having been replaced by [custom question answering](../../language-service/question-answering/overview.md). AI runtimes however, are evolving due to the development of Large Language Models (LLMs), such as GPT-35-Turbo and GPT-4 offered by [Azure OpenAI](../../openai/overview.md), which can address many chat-based use cases. Use this article to learn how to migrate your existing QnA Maker projects to Azure OpenAI. 
 
 
 ## Prerequisites
@@ -59,7 +59,7 @@ QnA Maker was designed to be a cloud-based Natural Language Processing (NLP) ser
 
     :::image type="content" source="../media/openai/data-field-mapping.png" alt-text="A screenshot showing index field mapping information for Azure Cognitive Search in Azure OpenAI Studio." lightbox="../media/openai/data-field-mapping.png":::
 
-1. Select **Next**. Select a search type from the dropdown menu. You can choose **Keyword** or **Semantic**. semantic” search requires an existing semantic search configuration which may or may not be available for your project.  
+1. Select **Next**. Select a search type from the dropdown menu. You can choose **Keyword** or **Semantic**. semantic” search requires an existing semantic search configuration, which may or may not be available for your project.  
 
     :::image type="content" source="../media/openai/data-management.png" alt-text="A screenshot showing the data management options for Azure Cognitive Search indexes." lightbox="../media/openai/data-management.png":::