fixed links, acrolinx pass

Author: jboback

articles/ai-services/language-service/key-phrase-extraction/how-to/call-api.md

@@ -29,20 +29,20 @@ This feature is useful if you need to quickly identify the main points in a coll
 
 ### Specify the key phrase extraction model
 
-By default, key phrase extraction will use the latest available AI model on your text. You can also configure your API requests to use a specific [model version](../../concepts/model-lifecycle.md).
+By default, key phrase extraction uses the latest available AI model on your text. You can also configure your API requests to use a specific [model version](../../concepts/model-lifecycle.md).
 
 ### Input languages
 
-When you submit documents to be processed by key phrase extraction, you can specify which of [the supported languages](../language-support.md) they're written in. if you don't specify a language, key phrase extraction will default to English. The API may return offsets in the response to support different [multilingual and emoji encodings](../../concepts/multilingual-emoji-support.md). 
+When you submit documents to be processed by key phrase extraction, you can specify which of [the supported languages](../language-support.md) they're written in. if you don't specify a language, key phrase extraction defaults to English. The API may return offsets in the response to support different [multilingual and emoji encodings](../../concepts/multilingual-emoji-support.md). 
 
 ## Submitting data
 
 Key phrase extraction works best when you give it bigger amounts of text to work on. This is opposite from sentiment analysis, which performs better on smaller amounts of text. To get the best results from both operations, consider restructuring the inputs accordingly.
 
-To send an API request, You will need your Language resource endpoint and key.
+To send an API request, You need your Language resource endpoint and key.
 
 > [!NOTE]
-> You can find the key and endpoint for your Language resource on the Azure portal. They will be located on the resource's **Key and endpoint** page, under **resource management**. 
+> You can find the key and endpoint for your Language resource on the Azure portal. They are located on the resource's **Key and endpoint** page, under **resource management**. 
 
 Analysis is performed upon receipt of the request. Using the key phrase extraction feature synchronously is stateless. No data is stored in your account, and results are returned immediately in the response.
 

articles/ai-services/language-service/key-phrase-extraction/overview.md

@@ -14,7 +14,7 @@ ms.custom: language-service-key-phrase
 
 # What is key phrase extraction in Azure AI Language?
 
-Key phrase extraction is one of the features offered by [Azure AI Language](../overview.md), a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "*The food was delicious and the staff were wonderful.*", key phrase extraction will return the main topics: "*food*" and "*wonderful staff*".
+Key phrase extraction is one of the features offered by [Azure AI Language](../overview.md), a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "*The food was delicious and the staff were wonderful.*", key phrase extraction returns the main topics: "*food*" and "*wonderful staff*".
 
 This documentation contains the following types of articles:
 
@@ -32,7 +32,7 @@ This documentation contains the following types of articles:
 
 ## Responsible AI 
 
-An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for key phrase extraction](/legal/cognitive-services/language-service/transparency-note-key-phrase-extraction?context=/azure/ai-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
+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 is deployed. Read the [transparency note for key phrase extraction](/legal/cognitive-services/language-service/transparency-note-key-phrase-extraction?context=/azure/ai-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
 
 [!INCLUDE [Responsible AI links](../includes/overview-responsible-ai-links.md)]
 

articles/ai-services/language-service/named-entity-recognition/includes/quickstarts/azure-ai-foundry.md

@@ -10,7 +10,7 @@ ms.custom: language-service-pii
 
 ## Prerequisites
 
-* [Create a Project in Foundry in the Azure AI Foundry Portal](../../../../../ai-studio/how-to/create-projects?tabs=ai-studio.md)
+* [Create a Project in Foundry in the Azure AI Foundry Portal](../../../../../ai-studio/how-to/create-projects.md)
 
 ## Navigate to the Azure AI Foundry Playground
 

articles/ai-services/language-service/personally-identifiable-information/includes/quickstarts/azure-ai-foundry.md

@@ -10,7 +10,7 @@ ms.custom: language-service-pii
 
 ## Prerequisites
 
-* [Create a Project in Foundry in the Azure AI Foundry Portal](../../../../../../ai-studio/how-to/create-projects?tabs=ai-studio.md)
+* [Create a Project in Foundry in the Azure AI Foundry Portal](../../../../../ai-studio/how-to/create-projects.md)
 
 ## Navigate to the Azure AI Foundry Playground