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Hossein Zeinali

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Open access Jul 2026

A Comprehensive Approach to Misspelling Correction with Contextual Word Embeddings and Levenshtein Distance

A spelling correction framework that combines contextual information from BERT masked language models with edit-distance-based candidate generation with heuristic correction strategies and a biasing mechanism that improves the model’s focus on erroneous words is proposed.

Amirreza Naziri, Hossein Zeinali · 0 citations

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