Bootstrapping Unsupervised Bilingual Lexicon Induction

Bradley Hauer, Garrett Nicolai, Grzegorz Kondrak


Abstract
The task of unsupervised lexicon induction is to find translation pairs across monolingual corpora. We develop a novel method that creates seed lexicons by identifying cognates in the vocabularies of related languages on the basis of their frequency and lexical similarity. We apply bidirectional bootstrapping to a method which learns a linear mapping between context-based vector spaces. Experimental results on three language pairs show consistent improvement over prior work.
Anthology ID:
E17-2098
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
619–624
Language:
URL:
https://www.aclweb.org/anthology/E17-2098
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/E17-2098.pdf