/Spell-Correction-for-Roman-Urdu-using-Noisy-Channel-Model

This project develops an effective spell correction system for Roman Urdu using the Noisy Channel model. 4 components: language model, error model, candidate generation, and selection model. Suggests the most likely correction for a given incorrect word using probabilistic approach.

Primary LanguageJupyter Notebook

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