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|Title:||A beam-search decoder for grammatical error correction||Authors:||Dahlmeier, D.
|Issue Date:||2012||Citation:||Dahlmeier, D.,Ng, H.T. (2012). A beam-search decoder for grammatical error correction. EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference : 568-578. ScholarBank@NUS Repository.||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. © 2012 Association for Computational Linguistics.||Source Title:||EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/77949||ISBN:||9781937284435|
|Appears in Collections:||Staff Publications|
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