R1j1t/contextualSpellCheck
A Python spelling corrector that uses BERT to suggest corrections based on surrounding context.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is R1j1t/contextualSpellCheck?
- A Python spelling corrector that uses BERT to suggest corrections based on surrounding context.
- Is contextualSpellCheck open source?
- Yes — R1j1t/contextualSpellCheck is open source, released under the MIT license.
- What language is contextualSpellCheck written in?
- R1j1t/contextualSpellCheck is primarily written in Python.
- How popular is contextualSpellCheck?
- R1j1t/contextualSpellCheck has 419 stars on GitHub.
- Where can I find contextualSpellCheck?
- R1j1t/contextualSpellCheck is on GitHub at https://github.com/R1j1t/contextualSpellCheck.