Categorial Variation Database for English

摘要

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 crosslanguage 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 categorical 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/%.