simplified phrasing

Author: HeidiSteen

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

@@ -15,21 +15,21 @@ ms.custom: references_regions
 
 In Azure Cognitive Search, AI enrichment refers to a pipeline process that adds machine learning to [indexer-based indexing](search-indexer-overview.md). Steps in the pipeline create new information where none previously existed: extracting information from images, detecting sentiment or key phrases from chunks of text, and recognizing entities, to name a few. All of these processes result in making previously unsearchable content available to full text search and knowledge mining scenarios.
 
-Azure Blob Storage is the most commonly used input, but any indexer-supported data source can provide the initial content. A [**skillset**](cognitive-search-working-with-skillsets.md), attached to an indexer, adds the AI processing. The indexer will extract and set up the content, while the skillset identifies, analyzes, and creates new information and structures from blobs, embedded images, and raw text. Output is either a [**search index**](search-what-is-an-index.md) or a [**knowledge store**](knowledge-store-concept-intro.md).
+Azure Blob Storage is the most commonly used input, but any indexer-supported data source can provide the initial content. A [**skillset**](cognitive-search-working-with-skillsets.md), attached to an indexer, adds the AI processing. The indexer extracts content and sets up the pipeline, while the skillset identifies, analyzes, and creates new information out of blobs, images, and raw text. Output is a [**search index**](search-what-is-an-index.md) or optional [**knowledge store**](knowledge-store-concept-intro.md).
 
 ![Enrichment pipeline diagram](./media/cognitive-search-intro/cogsearch-architecture.png "enrichment pipeline overview")
 
-A skillset is composed of built-in skills from Cognitive Search or [*custom skills*](cognitive-search-create-custom-skill-example.md) for external processing that you provide. Custom skills might sound complex but can be simple and straightforward in terms of implementation. If you have existing packages that provide pattern matching or document classification models, the content you extract during indexing could be passed to these models for processing. 
+Skillsets are composed of built-in skills from Cognitive Search or [*custom skills*](cognitive-search-create-custom-skill-example.md) for external processing that you provide. Custom skills might sound complex but can be simple and straightforward in terms of implementation. If you have existing packages that provide pattern matching or document classification models, the content you extract during indexing could be passed to these models for processing. 
 
 Built-in skills fall into these categories:
 
 + **Machine translation** is provided by the [text translation](cognitive-search-skill-text-translation.md) skill, often paired with [language detection](cognitive-search-skill-language-detection.md) for multi-language solutions.
 
-+ **Image processing** skills include [Optical Character Recognition (OCR)](cognitive-search-skill-ocr.md) and identification of [visual features](cognitive-search-skill-image-analysis.md), such as facial detection, image interpretation, image recognition (famous people and landmarks), or attributes like image orientation. These skills create text representations of image content, making it searchable using the query capabilities of Azure Cognitive Search.
++ **Image processing** skills include [Optical Character Recognition (OCR)](cognitive-search-skill-ocr.md) and identification of [visual features](cognitive-search-skill-image-analysis.md), such as facial detection, image interpretation, image recognition (famous people and landmarks), or attributes like image orientation. These skills create text representations of image content for full text search in Azure Cognitive Search.
 
 + **Natural language processing** skills include [entity recognition](cognitive-search-skill-entity-recognition-v3.md), [language detection](cognitive-search-skill-language-detection.md), [key phrase extraction](cognitive-search-skill-keyphrases.md), text manipulation, [sentiment detection (including opinion mining)](cognitive-search-skill-sentiment-v3.md), and [personal identifiable information (PII) detection](cognitive-search-skill-pii-detection.md). With these skills, unstructured text is mapped as searchable and filterable fields in an index.
 
-Built-in skills in Azure Cognitive Search are based on pre-trained machine learning models in Cognitive Services APIs: [Computer Vision](../cognitive-services/computer-vision/index.yml) and [Language Service](../cognitive-services/language-service/overview.md). You should attach a billable Cognitive Services resource if you want to use these resources for larger workloads.
+Built-in skills are based on pre-trained machine learning models in Cognitive Services APIs: [Computer Vision](../cognitive-services/computer-vision/index.yml) and [Language Service](../cognitive-services/language-service/overview.md). You should [attach a billable Cognitive Services resource](cognitive-search-attach-cognitive-services.md) if you want these resources for larger workloads.
 
 Natural language and image processing is applied during the data ingestion phase, with results becoming part of a document's composition in a searchable index in Azure Cognitive Search. Data is sourced as an Azure data set and then pushed through an indexing pipeline using whichever [built-in skills](cognitive-search-predefined-skills.md) you need.