Merge pull request #202373 from aahill/fixes

[COG SVCS] fixes for bug reports

Author: Stacyrch140

articles/cognitive-services/language-service/orchestration-workflow/faq.md

@@ -7,8 +7,8 @@ author: aahill
 manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
-ms.topic: quickstart
-ms.date: 05/23/2022
+ms.topic: conceptual
+ms.date: 06/21/2022
 ms.author: aahi
 ms.custom: ignite-fall-2021, mode-other
 ---
@@ -48,7 +48,7 @@ See the [language support](./language-support.md) article.
 -->
 ## How do I get more accurate results for my project?
 
-Take a look at the [recommended guidelines](./how-to/create-project.md) for information on improving accuracy.
+See [evaluation metrics](./concepts/evaluation-metrics.md) for information on how models are evaluated, and metrics you can use to improve accuracy.
 <!--
 ## How many intents, and utterances can I add to a project?
 

articles/cognitive-services/language-service/orchestration-workflow/includes/language-studio/train-model.md

@@ -12,7 +12,7 @@ ms.custom: ignite-fall-2021
 
 To start training your model from within the [Language Studio](https://aka.ms/languageStudio):
 
-1. Select **Train model** from the left side menu.
+1. Select **Training jobs** from the left side menu.
 
 2. Select **Start a training job** from the top menu.
 

articles/cognitive-services/language-service/orchestration-workflow/includes/quickstarts/rest-api.md

@@ -5,7 +5,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 06/06/2022
+ms.date: 06/21/2022
 ms.author: aahi
 ---
 

articles/cognitive-services/language-service/orchestration-workflow/includes/resource-creation-azure-portal.md

@@ -5,27 +5,23 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 05/20/2022
+ms.date: 06/21/2022
 ms.author: aahi
 ---
 
 ### Create a new resource from the Azure portal
 
 1. Go to the [Azure portal](https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics) to create a new Azure Language resource. 
 
-2. Click on **Create a new resource**
+2. Click on **Continue to create your resource**
 
-3. In the window that appears, search for **Language service**  
-
-4. Click **Create** 
-
-5. Create a Language resource with following details.
+3. Create a Language resource with following details.
 
     |Instance detail  |Required value  |
     |---------|---------|
-    |Region | Learn more about [supported regions](../service-limits.md#regional-support).          |
-    |Name| Required name for your Language resource|
-    |Pricing tier     | Learn more about [supported pricing tiers](../service-limits.md#language-resource-limits).        |
+    |Region | One of the [supported regions](../service-limits.md#regional-support).          |
+    |Name| A name for your Language resource. |
+    |Pricing tier     | One of the [supported pricing tiers](../service-limits.md#language-resource-limits).        |
 
 
 

articles/cognitive-services/language-service/orchestration-workflow/includes/rest-api/train-model.md

@@ -52,7 +52,7 @@ Use the following object in your request. The model will be named `MyModel` once
 |---------|-----|----|---------|
 |`modelLabel`    | `{MODEL-NAME}`|Your Model name.   | `Model1` |
 | `trainingConfigVersion` |`{CONFIG-VERSION}`| The training configuration model version. By default, the latest [model version](../../../concepts/model-lifecycle.md) is used. | `2022-05-01` |
-| `kind` | `percentage` |  Split methods. Possible values are `percentage` or `manual`. See [how to train a model](../../how-to/train-model.md#data-splitting) for more information. |`percentage`|
+| `kind` | `percentage` |  Split methods. Possible values are `percentage` or `manual`. See [how to train a model](../../how-to/train-model.md) for more information. |`percentage`|
 | `trainingSplitPercentage` | `80`| Percentage of your tagged data to be included in the training set. Recommended value is `80`. | `80`|
 | `testingSplitPercentage` | `20` | Percentage of your tagged data to be included in the testing set. Recommended value is `20`.   | `20` |