April 8, 2024, 4:46 a.m. | Harsh Kohli, Helian Feng, Nicholas Dronen, Calvin McCarter, Sina Moeini, Ali Kebarighotbi

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.04221v1 Announce Type: new
Abstract: In contemporary machine learning approaches to bilingual lexicon induction (BLI), a model learns a mapping between the embedding spaces of a language pair. Recently, retrieve-and-rank approach to BLI has achieved state of the art results on the task. However, the problem remains challenging in low-resource settings, due to the paucity of data. The task is complicated by factors such as lexical variation across languages. We argue that the incorporation of additional lexical information into the …

abstract art arxiv bilingual cs.cl embedding however language low machine machine learning mapping results spaces state state of the art type

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