论文标题
使用最佳传输的图形匹配的低资源语言的双语词典感应
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
论文作者
论文摘要
双语词典构成了各种自然语言处理应用的关键组成部分，包括无监督和半佩里的机器翻译和跨语言信息检索。我们通过基于最佳传输的图形匹配方法来改善40个语言对的双语词典感应性能。该方法特别强大，监督量较低。
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.
