Update based on feedback.

Author: Sherry Yang

learn-pr/wwl-data-ai/introduction-language/includes/2-how-it-works.md

@@ -17,6 +17,7 @@ For example, consider this phrase from a famous US presidential speech: `"we cho
 
 Notice that `"to"` (token number 3) is used twice in the corpus. The phrase `"we choose to go to the moon"` can be represented by the tokens :::no-loc text="{1,2,3,4,3,5,6}":::.
 
+
 > [!NOTE]
 > We've used a simple example in which tokens are identified for each distinct word in the text. However, consider the following concepts that may apply to tokenization depending on the specific kind of NLP problem you're trying to solve:
 >

learn-pr/wwl-data-ai/introduction-language/includes/3-semantic-models.md

@@ -29,4 +29,4 @@ Common NLP tasks supported by language models include:
 - Summarization, in which the main points of a large body of text are summarized.
 - Conversational AI solutions such as *bots* or *digital assistants* in which the language model can interpret natural language input and return an appropriate response.
 
-Next, let's learn more about the capabilities made possible by langauge models.
+Next, let's learn more about the capabilities made possible by language models.

learn-pr/wwl-data-ai/introduction-language/index.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.introduction-language
 metadata:
   title: Introduction to natural language processing concepts
-  description: "Introduction to natural language processing concepts"
+  description: "Natural language processing (NLP) supports applications that can see, hear, speak with, and understand users. In this module you learn about the concepts that make NLP possible."
   ms.date: 5/21/2025
   author: wwlpublish
   ms.author: sheryang
@@ -13,7 +13,7 @@ metadata:
   ms.service: azure-ai-language
   ai-usage: ai-assisted
 title: Introduction to natural language processing concepts
-summary: Explore natural language processing (NLP).
+summary: Natural language processing (NLP) supports applications that can see, hear, speak with, and understand users. In this module you learn about the concepts that make NLP possible.
 abstract: Explore natural language processing (NLP).
 prerequisites: Ability to navigate the Azure portal
 iconUrl: /learn/achievements/analyze-text-with-text-analytics-service.svg