Automatic Discrimination between Cognates and Borrowings

被引：0
|
作者：
Ciobanu, Alina Maria [1 ]
Dinu, Liviu P.
机构：
[1] Univ Bucharest, Fac Math & Comp Sci, Bucharest, Romania
来源：
PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2 | 2015年
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Identifying the type of relationship between words provides a deeper insight into the history of a language and allows a better characterization of language relatedness. In this paper, we propose a computational approach for discriminating between cognates and borrowings. We show that orthographic features have discriminative power and we analyze the underlying linguistic factors that prove relevant in the classification task. To our knowledge, this is the first attempt of this kind.
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页码：431 / 437
页数：7
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