Update README.md

README.md

@@ -56,7 +56,7 @@ The performances of the model on our internal test set are:
 ## Potential weakness of the model
 
 * As the model has been trained on data of short length, it is difficult to predict how the model will behave on long texts
-* Although the model is robust to typos and able to generate synonyms, the entities and topics must be as explicit as possible. 
+* Although the model is robust to typos and able to deal with synonyms, the entities and topics must be as explicit as possible. 
 * The model may have difficulties to detect very abstract and complex topics, a fine tuning of the model can solve this problem
 * The model may have difficulty in capturing elements that are very specific to a given context