Further Normalization after model training with SpaCy
I trained an Arabic NER with SpaCy and got the model-best folder. But the thing is, the data used for training was already normalized. So, characters such as “أ, ؤ, ة” were already normalized to “ا,ء,ه”, respectively. My goal is to upload the model to HuggingFace where people can test the model using their own texts. But users are going to use the standard format (e.g., “أ, ؤ, ة”) not the normalized version. Is there anyway I can integrate this normalization to the model without having to retrain it, perhaps through editing the config.cfg file?