2012 ABeamSearchDecoderforGrammatica

• (Dahlmeier & Ng, 2012) ⇒ Daniel Dahlmeier, and Hwee Tou Ng. (2012). “A Beam-search Decoder for Grammatical Error Correction.” In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.

Subject Headings: Beam Search.

Cited By

• http://scholar.google.com/scholar?q=%222012%22+A+Beam-search+Decoder+for+Grammatical+Error+Correction
• http://dl.acm.org/citation.cfm?id=2390948.2391013&preflayout=flat#citedby

Quotes

Abstract

We present a novel beam-search decoder for grammatical error correction. The decoder iteratively generates new hypothesis corrections from current hypotheses and scores them based on features of grammatical correctness and fluency. These features include scores from discriminative classifiers for specific error categories, such as articles and prepositions. Unlike all previous approaches, our method is able to perform correction of whole sentences with multiple and interacting errors while still taking advantage of powerful existing classifier approaches. Our decoder achieves an F₁ correction score significantly higher than all previous published scores on the Helping Our Own (HOO) shared task data set.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 ABeamSearchDecoderforGrammatica	Hwee Tou Ng Daniel Dahlmeier			A Beam-search Decoder for Grammatical Error Correction