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


17 Apr 2022 (modified: 05 May 2023)ACL ARR 2022 April Blind SubmissionReaders: Everyone
Abstract: Bilingual lexicons form a critical component of various NLP applications, including unsupervised and semisupervised machine translation and crosslingual information retrieval. In this work, we improve bilingual lexicon induction performance across 40 diverse language pairs with a graph-matching method based on optimal transport. The method is especially strong with very low amounts of supervision.
Paper Type: long
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