update language support

Author: laujan

articles/ai-services/language-service/named-entity-recognition/overview.md

@@ -25,22 +25,23 @@ Named Entity Recognition (NER) is one of the features offered by [Azure AI Langu
 
 [!INCLUDE [development options](./includes/development-options.md)]
 
-[!INCLUDE [Developer reference](../includes/reference-samples-text-analytics.md)] 
+[!INCLUDE [Developer reference](../includes/reference-samples-text-analytics.md)]
 
-## Responsible AI 
+## Responsible AI
 
-An AI system includes not only the technology, but also the people who use it, the people who are affected by it, and the environment in which it's deployed. Read the [transparency note for NER](/azure/ai-foundry/responsible-ai/language-service/transparency-note-named-entity-recognition) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
+An AI system consists of more than just its core technology. It also includes the people who operate it, the people its use affects, and the broader deployment context.
+All these interconnected elements shape the effectiveness and outcomes of AI. Read the [transparency note for NER](/azure/ai-foundry/responsible-ai/language-service/transparency-note-named-entity-recognition) to learn about responsible AI use and deployment in your systems. For more information, *see* the following articles:
 
 [!INCLUDE [Responsible AI links](../includes/overview-responsible-ai-links.md)]
 
 ## Scenarios
 
-*	Enhance search capabilities and search indexing - Customers can build knowledge graphs based on entities detected in documents to enhance document search as tags.
-*	Automate business processes - For example, when reviewing insurance claims, recognized entities like name and location could be highlighted to facilitate the review. Or a support ticket could be generated with a customer's name and company automatically from an email.
-*	Customer analysis – Determine the most popular information conveyed by customers in reviews, emails, and calls to determine the most relevant topics that get brought up and determine trends over time. 
+* **Enhance search capabilities and search indexing**. Customers can build knowledge graphs based on entities detected in documents to enhance document search as tags.
+* **Automate business processes** - Insurance claims, recognized entities like name and location can be highlighted to facilitate review. Support tickets can be automatically generated with customer name and company from an email.
+* **In-depth customer analysis**. Determine the most popular information conveyed by customers in reviews, emails, and calls to determine relevant topics and trends over time.
 
 ## Next steps
 
 There are two ways to get started using the Named Entity Recognition (NER) feature:
 * [Azure AI Foundry](../../../ai-foundry/what-is-azure-ai-foundry.md) is a web-based platform that lets you use several Language service features without needing to write code.
-* The [quickstart article](quickstart.md) for instructions on making requests to the service using the REST API and client library SDK.  
+* The [quickstart article](quickstart.md) for instructions on making requests to the service using the REST API and client library SDK.