Minor alignment edits for the Java quickstart.

Author: erhopf

articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-csharp.md

@@ -6,7 +6,7 @@ author: diberry
 manager: nitinme
 ms.service: cognitive-services
 ms.topic: include 
-ms.date: 10/17/2019
+ms.date: 11/20/2019
 ms.author: diberry
 ---
 
@@ -22,7 +22,7 @@ ms.author: diberry
 
 ## Get intent programmatically
 
-Use C# to query the prediction endpoint GET [API](https://aka.ms/luis-apim-v3-prediction) to get the prediction result. 
+Use C# (.NET Core) to query the [prediction endpoint](https://aka.ms/luis-apim-v3-prediction) and get a prediction result.
 
 1. Create a new console application targeting the C# language, with a project and folder name of `predict-with-rest`. 
 

articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-java.md

@@ -6,7 +6,7 @@ author: diberry
 manager: nitinme
 ms.service: cognitive-services
 ms.topic: include 
-ms.date: 10/17/2019
+ms.date: 11/20/2019
 ms.author: diberry
 ---
 ## Prerequisites
@@ -21,7 +21,7 @@ ms.author: diberry
 
 ## Get intent programmatically
 
-Use Java to query the prediction endpoint GET [API](https://aka.ms/luis-apim-v3-prediction) to get the prediction result.
+Use Java to query the [prediction endpoint](https://aka.ms/luis-apim-v3-prediction) and get a prediction result.
 
 1. Make a subdirectory named `lib` and copy in the following java libs:
 
@@ -31,7 +31,6 @@ Use Java to query the prediction endpoint GET [API](https://aka.ms/luis-apim-v3-
 
 1. Copy the following code to create a class in a file named `Predict.java`:
 
-
     ```java
     import java.io.*;
     import java.net.URI;
@@ -102,10 +101,10 @@ Use Java to query the prediction endpoint GET [API](https://aka.ms/luis-apim-v3-
 1. Replace the following values:
 
     * `YOUR-KEY` with your starter key
-    * `YOUR-ENDPOINT` with your endpoint, for example, `westus2.api.cognitive.microsoft.com`
+    * `YOUR-ENDPOINT` with your endpoint. For example, `westus2.api.cognitive.microsoft.com`.
 
 
-1. Compile the java program from a command line: 
+1. Compile the java program from the command line: 
 
     ```console
     javac -cp ":lib/*" Predict.java
@@ -117,7 +116,7 @@ Use Java to query the prediction endpoint GET [API](https://aka.ms/luis-apim-v3-
     java -cp ":lib/*" Predict
     ```
 
-1. Review prediction response in JSON format:
+1. Review the prediction response, which is returned as JSON:
 
     ```console
     {'query': 'turn on all lights', 'prediction': {'topIntent': 'HomeAutomation.TurnOn', 'intents': {'HomeAutomation.TurnOn': {'score': 0.5375382}, 'None': {'score': 0.08687421}, 'HomeAutomation.TurnOff': {'score': 0.0207554}}, 'entities': {'HomeAutomation.Operation': ['on'], '$instance': {'HomeAutomation.Operation': [{'type': 'HomeAutomation.Operation', 'text': 'on', 'startIndex': 5, 'length': 2, 'score': 0.724984169, 'modelTypeId': -1, 'modelType': 'Unknown', 'recognitionSources': ['model']}]}}}}