rephrased a sentence

Author: HeidiSteen

articles/search/cognitive-search-concept-intro.md

@@ -17,7 +17,7 @@ ms.custom: references_regions
 
 Because Azure Cognitive Search is a full text search solution, the purpose of AI enrichment is to improve the utility of your content in search-related scenarios:
 
-+ Translation and language detection support of multi-lingual search
++ Translation and language detection for multi-lingual search
 + Entity recognition extracts people, places, and other entities from large chunks of text
 + Key phrase extraction identifies and then outputs important terms
 + Optical Character Recognition (OCR) recognizes printed and handwritten text in binary files

articles/search/cognitive-search-skill-ocr.md

@@ -58,7 +58,7 @@ In previous versions, there was a parameter called "textExtractionAlgorithm" to
 | `text`             | Plain text extracted from the image.   |
 | `layoutText`    | Complex type that describes the extracted text and the location where the text was found.|
 
-The OCR skill always outputs images at the end of each page. This is by design and is non-configurable.
+If you call OCR on images embedded in PDFs or other application files, the OCR output will be located at the bottom of the page, after any text that was extracted and processed.
 
 ## Sample definition
 

articles/search/search-what-is-azure-search.md

@@ -15,8 +15,7 @@ ms.custom: contperf-fy21q1
 
 Azure Cognitive Search ([formerly known as "Azure Search"](whats-new.md#new-service-name)) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.
 
-Search is foundational to any app that surfaces text content to users, with common scenarios including catalog or document search, online retail, or data exploration over proprietary content. 
-When you create a search service, you'll work with the following capabilities:
+Search is foundational to any app that surfaces text content to users, with common scenarios including catalog or document search, online retail, or data exploration over proprietary content. When you create a search service, you'll work with the following capabilities:
 
 + A search engine for full text search over a search index containing your user-owned content
 + Rich indexing, with [text analysis](search-analyzers.md) and [optional AI enrichment](cognitive-search-concept-intro.md) for content extraction and transformation