A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction

摘要

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.