@conference {13699,
	title = {A categorial variation database for English},
	booktitle = {Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1},
	series = {NAACL {\textquoteright}03},
	year = {2003},
	month = {2003///},
	pages = {17 - 23},
	publisher = {Association for Computational Linguistics},
	organization = {Association for Computational Linguistics},
	address = {Stroudsburg, PA, USA},
	abstract = {We describe our approach to the construction and evaluation of a large-scale database called "CatVar" which contains categorial variations of English lexemes. Due to the prevalence of cross-language categorial variation in multilingual applications, our categorial-variation resource may serve as an integral part of a diverse range of natural language applications. Thus, the research reported herein overlaps heavily with that of the machine-translation, lexicon-construction, and information-retrieval communities.We apply the information-retrieval metrics of precision and recall to evaluate the accuracy and coverage of our database with respect to a human-produced gold standard. This evaluation reveals that the categorial database achieves a high degree of precision and recall. Additionally, we demonstrate that the database improves on the linkability of Porter stemmer by over 30\%.},
	doi = {10.3115/1073445.1073458},
	url = {http://dx.doi.org/10.3115/1073445.1073458},
	author = {Habash,Nizar and Dorr, Bonnie J}
}
