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De Felice, Rachele and Pulman, Stephen
(2009).
DOI: https://doi.org/10.1558/cj.v26i3.512-528
Abstract
In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and recall of 35% on this task. The discussion of results obtained on correct and incorrect data aims to establish what characteristics of L2 writing prove particularly problematic in this task.
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About
- Item ORO ID
- 86945
- Item Type
- Journal Item
- ISSN
- 2056-9017
- Keywords
- Preposition Errors; Automatic Error Detection; Preposition Usage; L2 English
- Academic Unit or School
- Faculty of Wellbeing, Education and Language Studies (WELS)
- Copyright Holders
- © 2009 CALICO Journal
- Depositing User
- Rachele De Felice