A naive Bayes classifier for automatic correction of preposition and determiner errors in ESL text

Authors:
Gerard Lynch;Erwan Moreau;Carl Vogel
Affiliations:
Trinity College Dublin, Ireland;Trinity College Dublin, Ireland;Trinity College Dublin, Ireland
Venue:
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
Year:
2012

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Proceedings of the Seventh Workshop on Building Educational Applications Using NLP

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Abstract

This is the report for the CNGL ILT team entry to the HOO 2012 shared task. A Naive-Bayes-based classifier was used in the task which involved error detection and correction in ESL exam scripts. The features we use include n-grams of words and POS tags together with features based on the external Google N-Grams corpus. Our system placed 11th out of 14 teams for the detection and recognition tasks and 11th out of 13 teams for the correction task based on F-score for both preposition and determiner errors.