edits

Author: diberry

articles/cognitive-services/LUIS/includes/howto-publish.md

@@ -23,7 +23,7 @@ In order to receive a LUIS prediction in a chat bot or other client application,
 
     ![LUIS publish to endpoint](../media/howto-publish/publish-app-popup.png)
 
-3. Publishing is complete when you see the green status bar at the top of the website confirming success.
+3. Publishing is complete when you see the status bar at the top of the page confirming success.
 
     ![LUIS publish to endpoint](../media/howto-publish/publish-endpoint-success.png)
 

articles/cognitive-services/LUIS/tutorial-intents-only.md

@@ -118,7 +118,7 @@ These intentions are categorized into **Intents**.
 
     This is not exactly the same as an example utterance so it is a good test to see if LUIS can learn what should be predicted with this intent.
 
-    The last query string parameter is `q`, the utterance **query**. This utterance is not the same as any of the example utterances. It is a good test and should return the `OrderPizza` intent as the top scoring intent. 
+    The last query string parameter is `query`, the utterance **query**. This utterance is not the same as any of the example utterances. It is a good test and should return the `OrderPizza` intent as the top scoring intent. 
 
     ```JSON
     {
@@ -144,7 +144,7 @@ These intentions are categorized into **Intents**.
     }
     ```
 
-    The entities array is empty because this app currently does not have any entities. 
+    The entities array is empty because this app currently does not have any entities (unit of data inside the utterance to extract). 
 
     The JSON result identifies the top scoring intent as **`prediction.topIntent`** property. All scores are between 1 and 0, with the better score being closer to 1. 
 
@@ -201,4 +201,4 @@ After LUIS returns the JSON response, LUIS is done with this request. LUIS doesn
 This tutorial created a LUIS app, created intents, added example utterances to each intent, added example utterances to the None intent, trained, published, and tested at the endpoint. These are the basic steps of building a LUIS model. 
 
 > [!div class="nextstepaction"]
-> [Add prebuilt intents and entities to this app](tutorial-machine-learned-entity.md)
+> [Add a decomposable entity to this app](tutorial-machine-learned-entity.md)