Extracting constraints on word usage from large text corpora
Kathleen R. McKeown, Diane J. Litman, Rebecca J. Passonneau · 1992
Our research focuses on the identification of word usage constraints from large text corpora. Such constraints are important for natural language systems, both for the problem of selecting vocabulary for language generation and for disambiguating lexical meaning in interpretation, The first stage of our research involves the development of systems that can automatically extract such constraints from corpora and empirical methods for analyzing text. Identified constraints will be represented in a lexicon that will be tested computationally as part of a natural language system. We are also identifying lexical constraints for machine translation using the aligned Hansard corpus as training data and are identifying many-to-many word alignments.