edit for pub

Author: laujan

articles/applied-ai-services/form-recognizer/concept-composed-models.md

@@ -42,7 +42,7 @@ With composed models, you can assign multiple custom models to a composed model
 
 ::: moniker range="form-recog-3.0.0"
 
-With the introduction of [****custom classification models****](./concept-custom-classifier.md), you can choose to use [**composed models**](./concept-composed-models.md) or the classification model as an explicit step before analysis. For a deeper understanding  of when to use a classification or composed model, _see_ [**Custom classification models**](concept-custom-classifier.md).
+With the introduction of [**custom classification models**](./concept-custom-classifier.md), you can choose to use a [**composed model**](./concept-composed-models.md) or [**classification model**](concept-custom-classifier.md) as an explicit step before analysis. For a deeper understanding of when to use a classification or composed model, _see_ [**Custom classification models**](concept-custom-classifier.md#compare-custom-classification-and-composed-models).
 
 ## Compose model limits
 

articles/applied-ai-services/form-recognizer/concept-custom-classifier.md

@@ -30,21 +30,21 @@ Custom classification models can analyze a single- or multi-file documents to id
 
 * A single file containing multiple instances of the same document. For instance, a collection of scanned invoices.
 
-Training a custom classification model requires at least two distinct classes and a minimum of five samples per class.
+Training a custom classifier requires at least two distinct classes and a minimum of five samples per class.
 
 ### Compare custom classification and composed models
 
 A custom classification model can replace [a composed model](concept-composed-models.md) in some scenarios but there are a few differences to be aware of:
 
 | Capability | Custom classifier process | Composed model process |
 |--|--|--|
-|Analyze a single document of unknown type belonging to one of the types trained for extraction model processing.| &#9679; Requires multiple calls. </br> &#9679; Call the classification models based on the document class. This step allows for a confidence-based check before invoking the extraction model analysis.</br> &#9679; Invoke the extraction model. | &#9679; Requires a single call to a composed model containing the model corresponding to the input document type. |
- |Analyze a single document of unknown type belonging to several types trained for extraction model processing.| &#9679;Requires multiple calls.</br> &#9679; Make a call to the classification that ignores documents not matching a designated type for extraction.</br> &#9679; Invoke the extraction model. | &#9679;  Requires a single call to a composed model. The service selects a custom model within the composed model with the highest match.</br> &#9679; A composed model can't ignore documents.|
+|Analyze a single document of unknown type belonging to one of the types trained for extraction model processing.| &#9679; Requires multiple calls. </br> &#9679; Call the classification model based on the document class. This step allows for a confidence-based check before invoking the extraction model analysis.</br> &#9679; Invoke the extraction model. | &#9679; Requires a single call to a composed model containing the model corresponding to the input document type. |
+ |Analyze a single document of unknown type belonging to several types trained for extraction model processing.| &#9679;Requires multiple calls.</br> &#9679; Make a call to the classifier that ignores documents not matching a designated type for extraction.</br> &#9679; Invoke the extraction model. | &#9679;  Requires a single call to a composed model. The service selects a custom model within the composed model with the highest match.</br> &#9679; A composed model can't ignore documents.|
 |Analyze a file containing multiple documents of known or unknown type belonging to one of the types trained for extraction model processing.| &#9679; Requires multiple calls. </br> &#9679; Call the extraction model for each identified document in the input file.</br> &#9679; Invoke the extraction model. | &#9679;  Requires a single call to a composed model.</br> &#9679; The composed model invokes the component model once on the first instance of the document. </br> &#9679;The remaining documents are ignored. |
 
 ## Language support
 
-Classifier models currently only support English language documents.
+Classification models currently only support English language documents.
 
 ## Best practices
 

articles/applied-ai-services/form-recognizer/concept-custom.md

@@ -83,7 +83,7 @@ The following table compares custom template and custom neural features:
 
 ### Custom classification model
 
- Document classification is a new scenario supported by Form Recognizer with the ```2023-02-28-preview``` API. Document classification supports classification and splitting scenarios. Train a classification model to identify the different types of documents your application supports. The input file for the classification model can contain multiple documents and classifies each document within an associated page range. See [custom classification](concept-custom-classifier.md) models to learn more.
+ Document classification is a new scenario supported by Form Recognizer with the ```2023-02-28-preview``` API. the document classifier API supports classification and splitting scenarios. Train a classification model to identify the different types of documents your application supports. The input file for the classification model can contain multiple documents and classifies each document within an associated page range. See [custom classification](concept-custom-classifier.md) models to learn more.
 
 ## Custom model tools
 

articles/applied-ai-services/form-recognizer/how-to-guides/build-a-custom-classifier.md

@@ -43,7 +43,7 @@ The Form Recognizer Studio provides and orchestrates all the API calls required
 
 1. Start by navigating to the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you need to [initialize your subscription, resource group, and resource](../quickstarts/try-v3-form-recognizer-studio.md). Then, follow the [prerequisites for custom projects](../quickstarts/try-v3-form-recognizer-studio.md#additional-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
 
-1. In the Studio, select the **Custom classification models** tile, on the custom models section of the page and select the **Create a project** button.
+1. In the Studio, select the **Custom classification model** tile, on the custom models section of the page and select the **Create a project** button.
 
     :::image type="content" source="../media/how-to/studio-create-classifier-project.png" alt-text="Screenshot of how to create a classifier project in the Form Recognizer Studio.":::
 

articles/applied-ai-services/form-recognizer/quickstarts/try-form-recognizer-studio.md

@@ -44,15 +44,15 @@ Prebuilt models help you add Form Recognizer features to your apps without havin
 
 * [**Invoice**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=invoice): extract text, selection marks, tables, key-value pairs, and key information from invoices.
 * [**Receipt**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=receipt): extract text and key information from receipts.
-* [**Health insurance card**](https://formrecognizer-dogfood.appliedai.azure.com/studio/prebuilt?formType=healthInsuranceCard.us): extract insurer, member, prescription, group number and other key information from US health insurance cards.
+* [**Health insurance card**](https://formrecognizer.appliedai.azure.com/studio): extract insurer, member, prescription, group number and other key information from US health insurance cards.
 * [**W-2**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=tax.us.w2): extract text and key information from W-2 tax forms.
 * [**ID document**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=idDocument): extract text and key information from driver licenses and international passports.
 * [**Business card**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=businessCard): extract text and key information from business cards.
 
 #### Custom
 
-* [**Custom extraction models**](https://formrecognizer-dogfood.appliedai.azure.com/studio/custommodel/projects): extract information from forms and documents with custom extraction models. Quickly train a model by labeling as few as five sample documents.
-* [**Custom classification model**](https://formrecognizer-dogfood.appliedai.azure.com/studio/document-classifier/projects): train a custom classifier to distinguish between the different document types within your applications. Quickly train a model with as few as two classes and five samples per class.
+* [**Custom extraction models**](https://formrecognizer.appliedai.azure.com/studio): extract information from forms and documents with custom extraction models. Quickly train a model by labeling as few as five sample documents.
+* [**Custom classification model**](https://formrecognizer.appliedai.azure.com/studio): train a custom classifier to distinguish between the different document types within your applications. Quickly train a model with as few as two classes and five samples per class.
 
 #### Gated preview models