edit pass: ai-language-capabilities-batch2

Author: paulth1

articles/ai-services/language-service/concepts/custom-features/multi-region-deployment.md

@@ -22,7 +22,7 @@ ms.custom: language-service-clu
 > * [Custom named entity recognition (NER)](../../custom-named-entity-recognition/overview.md)
 > * [Orchestration workflow](../../orchestration-workflow/overview.md)
 
-Custom Language service features enable you to deploy your project to more than one region. This capability makes it much easier to access your project globally while you manage only one instance of your project in one place.
+Custom language service features enable you to deploy your project to more than one region. This capability makes it much easier to access your project globally while you manage only one instance of your project in one place.
 
 Before you deploy a project, you can assign *deployment resources* in other regions. Each deployment resource is a different Language resource from the one that you use to author your project. You deploy to those resources and then target your prediction requests to that resource in their respective regions and your queries are served directly from that region.
 

articles/ai-services/language-service/conversational-language-understanding/concepts/evaluation-metrics.md

@@ -174,4 +174,4 @@ After you train your model, you see some guidance and recommendations on how to
 
 ## Related content
 
-[Train a model in Language Studio](../how-to/train-model.md)
+* [Train a model in Language Studio](../how-to/train-model.md)

articles/ai-services/language-service/conversational-language-understanding/concepts/none-intent.md

@@ -40,4 +40,4 @@ You should also consider adding false positive examples to the None intent. For
 
 ## Related content
 
-[Conversational language understanding overview](../overview.md)
+- [Conversational language understanding overview](../overview.md)