Paper: Automated Whole Sentence Grammar Correction Using a Noisy Channel Model

ACL ID P11-1094
Title Automated Whole Sentence Grammar Correction Using a Noisy Channel Model
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

Automated grammar correction techniques have seen improvement over the years, but there is still much room for increased perfor- mance. Current correction techniques mainly focus on identifying and correcting a specific type of error, such as verb form misuse or preposition misuse, which restricts the correc- tions to a limited scope. We introduce a novel technique, based on a noisy channel model, which can utilize the whole sentence context to determine proper corrections. We show how to use the EM algorithm to learn the pa- rameters of the noise model, using only a data set of erroneous sentences, given the proper language model. This frees us from the bur- den of acquiring a large corpora of corrected sentences. We also present a cheap and effi- cient way to provide automated evaluation...