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      Unsupervised Bilingual Lexicon Induction Across Writing Systems

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          Abstract

          Recent embedding-based methods in unsupervised bilingual lexicon induction have shown good results, but generally have not leveraged orthographic (spelling) information, which can be helpful for pairs of related languages. This work augments a state-of-the-art method with orthographic features, and extends prior work in this space by proposing methods that can learn and utilize orthographic correspondences even between languages with different scripts. We demonstrate this by experimenting on three language pairs with different scripts and varying degrees of lexical similarity.

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          Author and article information

          Journal
          31 January 2020
          Article
          2002.00037
          f2b95a5a-cdf0-4ae4-849d-2b1d3d7019df

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          cs.CL

          Theoretical computer science
          Theoretical computer science

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