Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources

Laurent Jakubina, Phillippe Langlais


Abstract
We investigate the reranking of the output of several distributional approaches on the Bilingual Lexicon Induction task. We show that reranking an n-best list produced by any of those approaches leads to very substantial improvements. We further demonstrate that combining several n-best lists by reranking is an effective way of further boosting performance.
Anthology ID:
E17-2096
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
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
605–611
Language:
URL:
https://aclanthology.org/E17-2096
DOI:
Bibkey:
Cite (ACL):
Laurent Jakubina and Phillippe Langlais. 2017. Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 605–611, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources (Jakubina & Langlais, EACL 2017)
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PDF:
https://aclanthology.org/E17-2096.pdf