This package uses a BERT language model to improve out-of-vocabulary (OOV) word detection and correction by leveraging contextual information. It serves as a spaCy extension and can be installed via pip. The project aims to address non-word errors (NWE) by considering the semantic context provided by BERT embeddings rather than relying solely on dictionary lookups.