Abstract
Identifying the type of relationship be-tween words provides a deeper insight into the history of a language and allows a bet-ter characterization of language related-ness. In this paper, we propose a com-putational approach for discriminating be-tween cognates and borrowings. We show that orthographic features have discrimi-native power and we analyze the underly-ing linguistic factors that prove relevant in the classification task. To our knowledge, this is the first attempt of this kind.
Cite
CITATION STYLE
Ciobanu, A. M., & Dinu, L. P. (2015). Automatic discrimination between cognates and borrowings. In ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference (Vol. 2, pp. 431–437). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/p15-2071
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