fixes

Author: aahill

articles/cognitive-services/language-service/custom-named-entity-recognition/faq.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: conceptual
-ms.date: 11/16/2021
+ms.date: 04/05/2022
 ms.author: aahi
 ms.custom: language-service-custom-ner, ignite-fall-2021
 ---

articles/cognitive-services/language-service/custom-named-entity-recognition/how-to/improve-model.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: how-to
-ms.date: 11/02/2021
+ms.date: 04/05/2022
 ms.author: aahi
 ms.custom: language-service-custom-ner, ignite-fall-2021
 ---

articles/cognitive-services/language-service/custom-named-entity-recognition/how-to/tag-data.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: how-to
-ms.date: 11/02/2021
+ms.date: 04/05/2022
 ms.author: aahi
 ms.custom: language-service-custom-ner, ignite-fall-2021
 ---
@@ -46,21 +46,23 @@ The precision, consistency and completeness of your tagged data are key factors
 
 4. To start tagging, click **Add entities** in the top-right corner. You can either view all files or only tagged files by changing the view from the **Viewing** drop down filter.
 
-
-:::image type="content" source="../media/tagging-screen.png" alt-text="A screenshot showing the Language Studio screen for tagging data." lightbox="../media/tagging-screen.png":::
-
-*Section 1*: is where the content of the text file is displayed and tagging takes place. You have [two options for tagging](#tagging-options) your files.
-
-*Section 2*: includes your project's entities and distribution across your files and tags.
-For distribution section, you can **View tag distribution across**:
-
-* Files: View the distribution of files across one single entity.
-* Tags: view the distribution of tags across all files.
-
-:::image type="content" source="../media/distribution-ner.png" alt-text="A screenshot showing the destribution section." lightbox="../media/distribution-ner.png":::
-
-*Section 3*: This is the split project data toggle. You can choose to add a selected text file to your training set or the testing set. By default, the toggle is off, and all text files are added to your training set.
-
+    :::image type="content" source="../media/tagging-screen.png" alt-text="A screenshot showing the Language Studio screen for tagging data." lightbox="../media/tagging-screen.png":::
+
+    In the image above:
+    
+    * *Section 1*: is where the content of the text file is displayed and tagging takes place. You have [two options for tagging](#tagging-options) your files.
+    
+    * *Section 2*: includes your project's entities and distribution across your files and tags.
+    If you click **Distribution**, you can view your tag distribution across:
+        
+        * Files: View the distribution of files across one single entity.
+        * Tags: view the distribution of tags across all files.
+    
+        :::image type="content" source="../media/distribution-ner.png" alt-text="A screenshot showing the distribution section." lightbox="../media/distribution-ner.png":::
+        
+    
+    * *Section 3*: This is the split project data toggle. You can choose to add a selected text file to your training set or the testing set. By default, the toggle is off, and all text files are added to your training set.
+    
 To add a text file to a training or testing set, simply choose from the radio buttons to which set it belongs.
 
 >[!TIP]

articles/cognitive-services/language-service/custom-named-entity-recognition/how-to/train-model.md

@@ -39,7 +39,7 @@ See the [application development lifecycle](../overview.md#application-developme
 
     :::image type="content" source="../media/train-model.png" alt-text="Create a new training job" lightbox="../media/train-model.png":::
 
-If you have enabled [Split project data manually toggle](tag-data.md) when you were tagging your data, you will see two training options:
+If you have enabled [your project data to be split manually](tag-data.md) when you were tagging your data, you will see two training options:
 
 * **Automatic split the testing**: The data will be randomly split for each class between training and testing sets, according to the percentages you choose. The default value is 80% for training and 20% for testing. To change these values, choose which set you want to change and write the new value.
 * **Use a manual split**: Assign each document to either the training or testing set, this required first adding files in the test dataset.

articles/cognitive-services/language-service/custom-named-entity-recognition/how-to/view-model-evaluation.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: how-to
-ms.date: 11/02/2021
+ms.date: 04/05/2022
 ms.author: aahi
 ms.custom: language-service-custom-ner, ignite-fall-2021
 ---
@@ -33,7 +33,7 @@ See the [application development lifecycle](../overview.md#application-developme
 
 2. Select **View model details** from the menu on the left side of the screen.
 
-3. In this page you can only view the sucessfuly trained models. You can click on the model name for more details.
+3. In this page you can only view the successfully trained models. You can click on the model name for more details.
 
 4. You can find the **model-level** evaluation metrics under **Overview**, and the **entity-level** evaluation metrics under **Entity performance metrics**. The confusion matrix for the model is located under **Test set confusion matrix**
 

articles/cognitive-services/language-service/custom-named-entity-recognition/includes/train-model-language-studio.md

@@ -5,7 +5,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 02/02/2022
+ms.date: 04/05/2022
 ms.author: aahi
 ---
 

articles/cognitive-services/language-service/custom-named-entity-recognition/service-limits.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: conceptual
-ms.date: 11/02/2021
+ms.date: 04/05/2022
 ms.author: aahi
 ms.custom: language-service-custom-ner, references_regions, ignite-fall-2021
 ---
@@ -31,9 +31,9 @@ Use this article to learn about the data and service limits when using Custom NE
 
 ## APIs limits
 
-* When using the Authoring API, there is a maximum of 10 POST requests and 100 GET requests per minute.
+* The Authoring API has a maximum of 10 POST requests and 100 GET requests per minute.
 
-* When using the Analyze API, there is a maximum of 20 GET or POST requests per minute.
+* The Analyze API has a maximum of 20 GET or POST requests per minute.
 
 * The maximum file size per request is 125,000 characters. You can send up to 25 files as long as they collectively do not exceed 125,000 characters.
 
@@ -70,7 +70,7 @@ Custom text classification is only available select Azure regions. When you crea
 
 * Model names have to be unique within the same project.
 
-* Model names must only contain alphnumeric characters,only letters and numbers, no spaces or special characters are allowed). Model name must have a maximum of 50 characters.
+* Model names must only contain alphanumeric characters, only letters and numbers, no spaces or special characters are allowed). Model name must have a maximum of 50 characters.
 
 * You cannot rename your model after creation.