Update README.md

README.md

@@ -7,14 +7,14 @@ license: apache-2.0
 
 This is a CNN model for document image binarization. It can be 
 used to convert all pixels in a color or grayscale document image 
-to only black or white pixels. The main purpose is to improve the 
+to only black or white pixels. The main aim is to improve the 
 contrast between foreground (text) and background (paper) for 
 purposes of OCR. The model is based on a `ResNet50-Unet` model.
 
 # Results
 In the *DocEng’2021 Time-Quality Binarization Competition* 
 ([paper](https://dib.cin.ufpe.br/docs/DocEng21_bin_competition_report.pdf)), 
-the model ranked 12 times under the top 8 of 63 methods in the, winning 2 tasks.
+the model ranked 12 times under the top 8 of 63 methods, winning 2 tasks.
  
 In the *ICDAR 2021 Competition on Time-Quality Document Image 
 Binarization* ([paper](https://dib.cin.ufpe.br/docs/papers/ICDAR2021-TQDIB_final_published.pdf)),