Lecture

Spelling Error Correction

Description

This lecture covers the importance of out-of-vocabulary forms, including spelling errors, neologisms, and borrowings, which are challenging to lexicalize. It explains the modeling of spelling errors and neologisms using transformations and edit distance. The probabilistic approach for correction and the computation of edit distance are discussed. The lecture also delves into the use of finite-state automata for spelling error correction and the weighted edit distance. Various examples and computational methods are presented, emphasizing the practical implementation of correction algorithms. Coherence constraints and weighted transformations are explored to ensure semantic integrity in error correction.

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