Update README.md

README.md

@@ -61,7 +61,7 @@ Using [makesense.ai](https://www.makesense.ai/) and a custom active learning app
 
 ## OCR 
 
-Using the model's predictions for image, title, text and mixedtext segments, we cropped using the bounding box and ran OCR on that document segment using Tesseract, Google Vision, and ABBYY FineReader Engine.  Given that the output of these various OCR engines can be difficult to compare, the document segments give a common denominator for comparison of OCR outputs.  Having three variations of the extracted text can be useful for experiments with OCR post-correction.
+Using the model's predictions for image, title, text and mixedtext segments, we cropped the image using the bounding boxes and ran OCR on each document segment using Tesseract, Google Vision, and ABBYY FineReader.  Given that the output of these various OCR engines can be difficult to compare, the document segments give a common denominator for comparison of OCR outputs.  Having three variations of the extracted text can be useful for experiments with OCR post-correction.
 
 ## Dataset