RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction

Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie

Abstract
Bilingual lexicon induction induces the word translations by aligning independently trained word embeddings in two languages. Existing approaches generally focus on minimizing the distances between words in the aligned pairs, while suffering from low discriminative capability to distinguish the relative orders between positive and negative candidates. In addition, the mapping function is globally shared by all words, whose performance might be hindered by the deviations in the distributions of different languages. In this work, we propose a novel ranking-oriented induction model RAPO to learn personalized mapping function for each word. RAPO is capable of enjoying the merits from the unique characteristics of a single word and the cross-language isomorphism simultaneously. Extensive experimental results on public datasets including both rich-resource and low-resource languages demonstrate the superiority of our proposal. Our code is publicly available in https://github.com/Jlfj345wf/RAPO.
Anthology ID:
2022.emnlp-main.606
Volume:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates
Editors:
Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
8870–8883
Language:
URL:
https://aclanthology.org/2022.emnlp-main.606
DOI:
10.18653/v1/2022.emnlp-main.606
Bibkey:
Cite (ACL):
Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, and Xing Xie. 2022. RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8870–8883, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Cite (Informal):
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction (Tian et al., EMNLP 2022)
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