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

Kelly Marchisio; Ali Saad-Eldin; Kevin Duh; Carey Priebe; Philipp Koehn

EMNLP 2022main8 citations

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

Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey Priebe, Philipp Koehn

Abstract

Bilingual lexicons form a critical component of various natural language processing applications, including unsupervised and semisupervised machine translation and crosslingual information retrieval. In this work, 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.

BibTeX

@inproceedings{marchisio-etal-2022-bilingual,
    title = "Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport",
    author = "Marchisio, Kelly  and
      Saad-Eldin, Ali  and
      Duh, Kevin  and
      Priebe, Carey  and
      Koehn, Philipp",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.164/",
    doi = "10.18653/v1/2022.emnlp-main.164",
    pages = "2545--2561"
}