Linking and redirects

Author: jboback

.openpublishing.redirection.json

@@ -245,6 +245,16 @@
       "redirect_url": "/azure/open-datasets/dataset-catalog",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/language-service/language-studio.md",
+      "redirect_url": "/azure/ai-services/language-service/overview",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/language-service/summarization/region-support.md",
+      "redirect_url": "/azure/ai-services/language-service/concepts/regional-support",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/open-datasets/dataset-genomics-data-lake.md",
       "redirect_url": "/azure/open-datasets/dataset-catalog",

articles/ai-services/language-service/entity-linking/includes/development-options.md

@@ -13,5 +13,5 @@ To use entity linking, you submit raw unstructured text for analysis and handle
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/linkedEntities) or [language studio quickstart](../../language-studio.md).         |
+|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/linkedEntities).         |
 |REST API or Client library (Azure SDK)      | Integrate entity linking into your applications using the REST API, or the client library available in a variety of languages. For more information, see the [entity linking quickstart](../quickstart.md).        |

articles/ai-services/language-service/entity-linking/overview.md

@@ -36,5 +36,5 @@ An AI system includes not only the technology, but also the people who will use
 ## Next steps
 
 There are two ways to get started using the entity linking feature:
-* [Language Studio](../language-studio.md), which is a web-based platform that enables you to try several Azure AI Language features without needing to write code.
+* [Language Studio](https://language.cognitive.azure.com/tryout/linkedEntities), which is a web-based platform that enables you to try several Azure AI Language 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.  

articles/ai-services/language-service/index.yml

@@ -23,9 +23,6 @@ highlightedContent:
     - title: What's new?
       itemType: whats-new
       url: whats-new.md
-    - title: Get started with Language Studio
-      itemType: get-started
-      url: language-studio.md
     - title: Responsible use of AI
       itemType: concept
       url: /legal/cognitive-services/language-service/transparency-note?context=/azure/ai-services/language-service/context/context

articles/ai-services/language-service/overview.md

@@ -27,7 +27,7 @@ The Language service also provides several new features as well, which can eithe
 > [!TIP]
 > Unsure which feature to use? See [Which Language service feature should I use?](#which-language-service-feature-should-i-use) to help you decide.
 
-[**Language Studio**](./language-studio.md) enables you to use the below service features without needing to write code.
+[**Azure AI Foundry**](https://ai.azure.com) enables you to use most of the below service features without needing to write code.
 
 ### Named Entity Recognition (NER)
 

articles/ai-services/language-service/personally-identifiable-information/how-to-call-for-conversations.md

@@ -36,9 +36,6 @@ The conversational PII API supports all Azure regions supported by the Language
 
 ## Submitting data
 
-> [!NOTE]
-> See the [Language Studio](../language-studio.md#valid-text-formats-for-conversation-features) article for information on formatting conversational text to submit using Language Studio. 
-
 You can submit the input to the API as list of conversation items. Analysis is performed upon receipt of the request. Because the API is asynchronous, there may be a delay between sending an API request, and receiving the results. For information on the size and number of requests you can send per minute and second, see the data limits below.
 
 When using the async feature, the API results are available for 24 hours from the time the request was ingested, and is indicated in the response. After this time period, the results are purged and are no longer available for retrieval.

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

@@ -91,8 +91,6 @@ With the Language service, QnA Maker customers now benefit from a single service
 - A unified set of APIs across all the capabilities
 - A cohesive, simpler, and powerful product
 
-Learn how to get started in [Language Studio](../../language-studio.md)
-
 ## Migration Phases
 
 If you or your organization have applications in development or production that use QnA Maker, you should update them to use custom question answering as soon as possible. See the following links for available APIs, SDKs, Bot SDKs and code samples.

articles/ai-services/language-service/text-analytics-for-health/how-to/call-api.md

@@ -19,7 +19,7 @@ ms.custom: language-service-health
 Text Analytics for health can be used to extract and label relevant medical information from unstructured texts such as doctors' notes, discharge summaries, clinical documents, and electronic health records. The service performs [named entity recognition](../concepts/health-entity-categories.md), [relation extraction](../concepts/relation-extraction.md), [entity linking](https://www.nlm.nih.gov/research/umls/sourcereleasedocs/index.html), and [assertion detection](../concepts/assertion-detection.md) to uncover insights from the input text. For information  on the returned confidence scores, see the [transparency note](/legal/cognitive-services/text-analytics/transparency-note#general-guidelines-to-understand-and-improve-performance?context=/azure/ai-services/text-analytics/context/context).
 
 > [!TIP]
-> If you want to test out the feature without writing any code, use the [Language Studio](../../language-studio.md).
+> If you want to test out the feature without writing any code, use [Azure AI Foundry](https://ai.azure.com).
 
 There are two ways to call the service: