mlsanityData to 7 Oct 2026

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

arXiv 2210.14378 ↗First posted 25 Oct 2022cs.CL cs.LGcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 39 of its 59 references that are in the map. First posted on arXiv 25 Oct 2022.

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39 of 59 references.

References · 39

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27 more
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Citing papers per year: 2023: 3; 2024: 2; 2025: 1.

6 papers.