NAIST at the HOO 2012 shared task

Authors:
Keisuke Sakaguchi;Yuta Hayashibe;Shuhei Kondo;Lis Kanashiro;Tomoya Mizumoto;Mamoru Komachi;Yuji Matsumoto
Affiliations:
Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan
Venue:
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
Year:
2012

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Abstract

This paper describes the Nara Institute of Science and Technology (NAIST) error correction system in the Helping Our Own (HOO) 2012 Shared Task. Our system targets preposition and determiner errors with spelling correction as a pre-processing step. The result shows that spelling correction improves the Detection, Correction, and Recognition F-scores for preposition errors. With regard to preposition error correction, F-scores were not improved when using the training set with correction of all but preposition errors. As for determiner error correction, there was an improvement when the constituent parser was trained with a concatenation of treebank and modified treebank where all the articles appearing as the first word of an NP were removed. Our system ranked third in preposition and fourth in determiner error corrections.