English

Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport

Computation and Language 2022-10-27 v1 Machine Learning
Authors: Kelly Marchisio , Ali Saad-Eldin , Kevin Duh , Carey Priebe , Philipp Koehn
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Abstract

Bilingual lexicons form a critical component of various natural language processing applications, including unsupervised and semisupervised machine translation and crosslingual information retrieval. We improve bilingual lexicon induction performance across 40 language pairs with a graph-matching method based on optimal transport. The method is especially strong with low amounts of supervision.

Keywords

cross-lingual transfer machine translation natural language processing

Cite

@article{arxiv.2210.14378,
  title  = {Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport},
  author = {Kelly Marchisio and Ali Saad-Eldin and Kevin Duh and Carey Priebe and Philipp Koehn},
  journal= {arXiv preprint arXiv:2210.14378},
  year   = {2022}
}

Comments

EMNLP 2022 Camera-Ready

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