Paper: A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction

ACL ID C10-2070
Title A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

We present a new method, based on graph theory, for bilingual lexicon ex- traction without relying on resources with limited availability like parallel corpora. The graphs we use represent linguis- tic relations between words such as ad- jectival modification. We experiment with a number of ways of combining different linguistic relations and present a novel method, multi-edge extraction (MEE), that is both modular and scalable. We evaluate MEE on adjectives, verbs and nouns and show that it is superior to cooccurrence-based extraction (which does not use linguistic analysis). Finally, we publish a reproducible baseline to es- tablish an evaluation benchmark for bilin- gual lexicon extraction.