Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
Marchisio, Kelly, Saad-Eldin, Ali, Duh, Kevin, Priebe, Carey, Koehn, Philipp
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-25-2022
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