fixes

Author: aahill

articles/cognitive-services/language-service/custom-text-analytics-for-health/includes/rest-api/create-project.md

@@ -59,7 +59,7 @@ Use the following JSON in your request. Replace the placeholder values below wit
 | projectName | `{PROJECT-NAME}` | The name of your project. This value is case-sensitive. | `myProject` |
 | language | `{LANGUAGE-CODE}` |  A string specifying the language code for the documents used in your project. If your project is a multilingual project, choose the language code of the majority of the documents. See [language support](../../language-support.md) to learn more about supported language codes. |`en-us`|
 | projectKind | `CustomHealthcare` | Your project kind. | `CustomHealthcare` |
-| multilingual | `true`| A boolean value that enables you to have documents in multiple languages in your dataset and when your model is deployed you can query the model in any supported language (not necessarily included in your training documents. See [language support](../../language-support.md) to learn more about multilingual support.  | `true`|
+| multilingual | `true`| A boolean value that enables you to have documents in multiple languages in your dataset and when your model is deployed you can query the model in any supported language (not necessarily ones included in your training documents). See [language support](../../language-support.md) to learn more about multilingual support.  | `true`|
 | storageInputContainerName | `{CONTAINER-NAME` | The name of your Azure storage container where you have uploaded your documents.   | `myContainer` |
 
 

articles/cognitive-services/language-service/custom-text-analytics-for-health/includes/rest-api/project-details.md

@@ -53,7 +53,7 @@ Use the following header to authenticate your request.
 | `projectKind` | `CustomHealthcare` | Your project kind. | `CustomHealthcare` |
 | `storageInputContainerName` | `{CONTAINER-NAME}` | The name of your Azure storage container where you have uploaded your documents.   | `myContainer` |
 | `projectName` | `{PROJECT-NAME}` | The name of your project. This value is case-sensitive. | `myProject` |
-| `multilingual` | `true`| A boolean value that enables you to have documents in multiple languages in your dataset and when your model is deployed you can query the model in any supported language (not necessarily included in your training documents. For more information about multilingual support, see [Language support](../../language-support.md). | `true`|
+| `multilingual` | `true`| A boolean value that enables you to have documents in multiple languages in your dataset and when your model is deployed you can query the model in any supported language (not necessarily ones included in your training documents). For more information about multilingual support, see [Language support](../../language-support.md). | `true`|
 | `language` | `{LANGUAGE-CODE}` |  A string specifying the language code for the documents used in your project. If your project is a multilingual project, choose the language code of the majority of the documents. |`en`|
 
 Once you send your API request, you will receive a `200` response indicating success and JSON response body with your project details.

articles/cognitive-services/language-service/custom-text-analytics-for-health/overview.md

@@ -10,7 +10,7 @@ ms.subservice: language-service
 ms.topic: overview
 ms.date: 04/14/2023
 ms.author: aahi
-ms.custom: language-service-custom-ta4h, ignite-fall-2021, event-tier1-build-2022
+ms.custom: language-service-custom-ta4h
 ---
 
 # What is custom Text Analytics for health? 

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

@@ -23,7 +23,7 @@ This Language service unifies the following previously available Cognitive Servi
 
 The Language service also provides several new features as well, which can either be:
 
-* Pre-configured, which means the AI models that the feature uses are not customizable. You just send your data, and use the feature's output in your applications.
+* Preconfigured, which means the AI models that the feature uses are not customizable. You just send your data, and use the feature's output in your applications.
 * Customizable, which means you'll train an AI model using our tools to fit your data specifically.
 
 > [!TIP]
@@ -38,7 +38,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="media/studio-examples/named-entity-recognition.png" alt-text="A screenshot of a named entity recognition example."  lightbox="media/studio-examples/named-entity-recognition.png":::
    :::column-end:::
    :::column span="":::
-      [Named entity recognition](./named-entity-recognition/overview.md) is a pre-configured feature that categorizes entities (words or phrases) in unstructured text across several pre-defined category groups. For example: people, events, places, dates, [and more](./named-entity-recognition/concepts/named-entity-categories.md).
+      [Named entity recognition](./named-entity-recognition/overview.md) is a preconfigured feature that categorizes entities (words or phrases) in unstructured text across several predefined category groups. For example: people, events, places, dates, [and more](./named-entity-recognition/concepts/named-entity-categories.md).
 
    :::column-end:::
 :::row-end:::
@@ -50,7 +50,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="media/studio-examples/personal-information-detection.png" alt-text="A screenshot of a PII detection example." lightbox="media/studio-examples/personal-information-detection.png":::
    :::column-end:::
    :::column span="":::
-      [PII detection](./personally-identifiable-information/overview.md) is a pre-configured feature that identifies, categorizes, and redacts sensitive information in both [unstructured text documents](./personally-identifiable-information/how-to-call.md), and [conversation transcripts](./personally-identifiable-information/how-to-call-for-conversations.md). For example: phone numbers, email addresses, forms of identification, [and more](./personally-identifiable-information/concepts/entity-categories.md).
+      [PII detection](./personally-identifiable-information/overview.md) is a preconfigured feature that identifies, categorizes, and redacts sensitive information in both [unstructured text documents](./personally-identifiable-information/how-to-call.md), and [conversation transcripts](./personally-identifiable-information/how-to-call-for-conversations.md). For example: phone numbers, email addresses, forms of identification, [and more](./personally-identifiable-information/concepts/entity-categories.md).
 
    :::column-end:::
 :::row-end:::
@@ -62,7 +62,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="media/studio-examples/language-detection.png" alt-text="A screenshot of a language detection example." lightbox="media/studio-examples/language-detection.png":::
    :::column-end:::
    :::column span="":::
-      [Language detection](./language-detection/overview.md) is a pre-configured feature that can detect the language a document is written in, and returns a language code for a wide range of languages, variants, dialects, and some regional/cultural languages.
+      [Language detection](./language-detection/overview.md) is a preconfigured feature that can detect the language a document is written in, and returns a language code for a wide range of languages, variants, dialects, and some regional/cultural languages.
 
    :::column-end:::
 :::row-end:::
@@ -74,7 +74,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="media/studio-examples/sentiment-analysis-example.png" alt-text="A screenshot of a sentiment analysis example." lightbox="media/studio-examples/sentiment-analysis-example.png":::
    :::column-end:::
    :::column span="":::
-      [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) are pre-configured features that help you find out what people think of your brand or topic by mining text for clues about positive or negative sentiment, and can associate them with specific aspects of the text.
+      [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) are preconfigured features that help you find out what people think of your brand or topic by mining text for clues about positive or negative sentiment, and can associate them with specific aspects of the text.
 
    :::column-end:::
 :::row-end:::
@@ -86,7 +86,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="media/studio-examples/summarization-example.png" alt-text="A screenshot of a summarization example." lightbox="media/studio-examples/summarization-example.png":::
    :::column-end:::
    :::column span="":::
-      [Summarization](./summarization/overview.md) is a pre-configured feature that uses extractive text summarization to produce a summary of documents and conversation transcriptions. It extracts sentences that collectively represent the most important or relevant information within the original content.
+      [Summarization](./summarization/overview.md) is a preconfigured feature that uses extractive text summarization to produce a summary of documents and conversation transcriptions. It extracts sentences that collectively represent the most important or relevant information within the original content.
    :::column-end:::
 :::row-end:::
 
@@ -97,7 +97,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="media/studio-examples/key-phrases.png" alt-text="A screenshot of a key phrase extraction example." lightbox="media/studio-examples/key-phrases.png":::
    :::column-end:::
    :::column span="":::
-      [Key phrase extraction](./key-phrase-extraction/overview.md) is a pre-configured feature that evaluates and returns the main concepts in unstructured text, and returns them as a list.
+      [Key phrase extraction](./key-phrase-extraction/overview.md) is a preconfigured feature that evaluates and returns the main concepts in unstructured text, and returns them as a list.
    :::column-end:::
 :::row-end:::
 
@@ -108,7 +108,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="media/studio-examples/entity-linking.png" alt-text="A screenshot of an entity linking example." lightbox="media/studio-examples/entity-linking.png":::
    :::column-end:::
    :::column span="":::
-      [Entity linking](./entity-linking/overview.md) is a pre-configured feature that disambiguates the identity of entities (words or phrases) found in unstructured text and returns links to Wikipedia. 
+      [Entity linking](./entity-linking/overview.md) is a preconfigured feature that disambiguates the identity of entities (words or phrases) found in unstructured text and returns links to Wikipedia. 
    :::column-end:::
 :::row-end:::
 
@@ -119,7 +119,7 @@ The Language service also provides several new features as well, which can eithe
       :::image type="content" source="text-analytics-for-health/media/call-api/health-named-entity-recognition.png" alt-text="A screenshot of a text analytics for health example." lightbox="text-analytics-for-health/media/call-api/health-named-entity-recognition.png":::
    :::column-end:::
    :::column span="":::
-      [Text analytics for health](./text-analytics-for-health/overview.md) is a pre-configured feature that extracts and labels relevant medical information from unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records. 
+      [Text analytics for health](./text-analytics-for-health/overview.md) is a preconfigured feature that extracts and labels relevant medical information from unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records. 
    :::column-end:::
 :::row-end:::
 
@@ -200,7 +200,7 @@ This section will help you decide which Language service feature you should use
 |What do you want to do?  |Document format  |Your best solution  | Is this solution customizable?* |
 |---------|---------|---------|---------|
 | Detect and/or redact sensitive information such as PII and PHI. | Unstructured text, <br> transcribed conversations | [PII detection](./personally-identifiable-information/overview.md) | |
-| Extract categories of information without creating a custom model.     | Unstructured text         | The [pre-configured NER feature](./named-entity-recognition/overview.md) |       |
+| Extract categories of information without creating a custom model.     | Unstructured text         | The [preconfigured NER feature](./named-entity-recognition/overview.md) |       |
 | Extract categories of information using a model specific to your data. | Unstructured text | [Custom NER](./custom-named-entity-recognition/overview.md) | ✓ |
 |Extract main topics and important phrases.     | Unstructured text        | [Key phrase extraction](./key-phrase-extraction/overview.md) |   |
 | Determine the sentiment and opinions expressed in text. | Unstructured text | [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) | |
@@ -214,7 +214,7 @@ This section will help you decide which Language service feature you should use
 | Predict the intention of user inputs and extract information from them. | Unstructured user inputs | [Conversational language understanding](./conversational-language-understanding/overview.md) | ✓ |
 | Connect apps from conversational language understanding, LUIS, and question answering. | Unstructured user inputs | [Orchestration workflow](./orchestration-workflow/overview.md) | ✓ | 
 
-\* If a feature is customizable, you can train an AI model using our tools to fit your data specifically. Otherwise a feature is pre-configured, meaning the AI models it uses cannot be changed. You just send your data, and use the feature's output in your applications.
+\* If a feature is customizable, you can train an AI model using our tools to fit your data specifically. Otherwise a feature is preconfigured, meaning the AI models it uses cannot be changed. You just send your data, and use the feature's output in your applications.
 
 ## Migrate from Text Analytics, QnA Maker, or Language Understanding (LUIS)