Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
October 25, 2022 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey Priebe, Philipp Koehn
arXiv ID
2210.14378
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
7
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
5 months ago
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.
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