contextualSpellCheck
The project improves text accuracy by employing BERT for contextual spell checking, focusing on correcting out-of-vocabulary errors based on usage context. Compatible with Python 3.6+, it integrates with spaCy to enhance pipeline functions. Key features are spelling error detection, word suggestions, and correction probabilities, useful for precise document editing. Planned updates aim to add real-word error identification and optimization to enhance user experience and system performance.
