Extracting Constraints on Word Usage from Large Text Corpora

摘要

Our research focuses on the identification of word usage constraints from large text corpora. Such constraints are useful both for the problem of selecting vocabulary for language generation and for disambiguating lexical meaning in interpretation. We are developing 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.