A classifier-based approach to preposition and determiner error correction in L2 English
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Developing an open-source, rule-based proofreading tool
Software—Practice & Experience
Helping our own: text massaging for computational linguistics as a new shared task
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Algorithm selection and model adaptation for ESL correction tasks
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Helping our own: the HOO 2011 pilot shared task
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
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This article describes the experiments we performed during our participation in the HOO Challenge. We present the adaption we made on two systems, mainly designing new grammatical rules and completing a lexicon. We focused our work on some of the most common errors in the corpus: missing punctuation and inaccurate prepositions. Our best experiment achieved a 0.1097 detection score, a 0.0820 recognition score, and a 0.0557 correction score on the test corpus.