@inproceedings{a49f7bc22a70462194ba953feebb037e,
title = "Automated Suggestions for Miscollocations",
abstract = "One of the most common and persistent error types in second language writing is collocation errors, such as learn knowledge instead of gain or acquire knowledge, or make damage rather than cause damage. In this work-inprogress report, we propose a probabilistic model for suggesting corrections to lexical collocation errors. The probabilistic model incorporates three features: word association strength (MI), semantic similarity (via Word- Net) and the notion of shared collocations (or intercollocability). The results suggest that the combination of all three features outperforms any single feature or any combination of two features.",
author = "Liu, {Anne Li E.} and David Wible and Tsao, {Nai Lung}",
note = "Publisher Copyright: {\textcopyright}2009 Association for Computational Linguistics.; 4th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2009 ; Conference date: 05-06-2009",
year = "2009",
language = "???core.languages.en_GB???",
series = "Proceedings of the 4th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2009",
publisher = "Association for Computational Linguistics (ACL)",
pages = "47--50",
editor = "Jill Burstein and Claudia Leacock and Joel Tetreault",
booktitle = "Proceedings of the 4th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2009",
}