update acrolinx

Author: laujan

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

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: applied-ai-services
 ms.subservice: forms-recognizer
 ms.topic: conceptual
-ms.date: 12/15/2022
+ms.date: 02/28/2023
 ms.author: lajanuar
 recommendations: false
 ---
@@ -34,11 +34,11 @@ With composed models, you can assign multiple custom models to a composed model
 
 * For **_custom template models_**, the composed model can be created using variations of a custom template or different form types. This operation is useful when incoming forms may belong to one of several templates.
 
-* The response will include a ```docType``` property to indicate which of the composed models was used to analyze the document.
+* The response includes a ```docType``` property to indicate which of the composed models was used to analyze the document.
 
 * For ```Custom neural``` models the best practice is to add all the different variations of a single document type into a single training dataset and train on custom neural model. Model compose is best suited for scenarios when you have documents of different types being submitted for analysis.
 
-* Pricing is the same whether you are using a composed model or selecting a specific model. Each document is analyzed by only one model. With composed models, the system performs a classification to check which of the composed cusom models should be invoked and invokes the single best model for the document.
+* Pricing is the same whether you're using a composed model or selecting a specific model. One model analyzes each document. With composed models, the system performs a classification to check which of the composed custom models should be invoked and invokes the single best model for the document.
 
 ## Compose model limits
 
@@ -55,9 +55,9 @@ With composed models, you can assign multiple custom models to a composed model
 |**Custom neural models v3.0 (preview)**|Not Supported|Not Supported|Supported|Not Supported|
 |**Custom Neural models v3.0 (GA)**|Not Supported|Not Supported|Not Supported|Supported|
 
-* To compose a model trained with a prior version of the API (v2.1 or earlier), train a model with the v3.0 API using the same labeled dataset. That addition will ensure that the v2.1 model can be composed with other models.
+* To compose a model trained with a prior version of the API (v2.1 or earlier), train a model with the v3.0 API using the same labeled dataset. That addition ensures that the v2.1 model can be composed with other models.
 
-* Models composed with v2.1 of the API will continue to be supported, requiring no updates.
+* Models composed with v2.1 of the API continue to be supported, requiring no updates.
 
 * The limit for maximum number of custom models that can be composed is 100.
 
@@ -76,7 +76,7 @@ The following resources are supported by Form Recognizer **v3.0** :
 
 ::: moniker range="form-recog-2.1.0"
 
-The following resources are supported by Form Recognizer v2.1:
+Form Recognizer v2.1 supports the following resources:
 
 | Feature | Resources |
 |----------|-------------------------|