Spelling Correction

Spelling correction is especially important in noisy sources such as user input, call-center notes, OCR output, and social media text. It can be implemented through methods ranging from simple rule-based correction to context-aware Transformer models. When done well, it directly improves retrieval, classification, and information extraction; when done poorly, it can distort meaning.