Multilingual lexical resources to detect cognates in non-aligned texts

Wang, Haoxing & Sitbon, Laurianne (2014) Multilingual lexical resources to detect cognates in non-aligned texts. In Ferraro, Gabriela & Wan, Stephen (Eds.) Proceedings of the Australasian Language Technology Association Workshop 2014, Melbourne, Australia, pp. 14-22.

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Abstract

The identification of cognates between two distinct languages has recently start- ed to attract the attention of NLP re- search, but there has been little research into using semantic evidence to detect cognates. The approach presented in this paper aims to detect English-French cog- nates within monolingual texts (texts that are not accompanied by aligned translat- ed equivalents), by integrating word shape similarity approaches with word sense disambiguation techniques in order to account for context. Our implementa- tion is based on BabelNet, a semantic network that incorporates a multilingual encyclopedic dictionary. Our approach is evaluated on two manually annotated da- tasets. The first one shows that across different types of natural text, our method can identify the cognates with an overall accuracy of 80%. The second one, con- sisting of control sentences with semi- cognates acting as either true cognates or false friends, shows that our method can identify 80% of semi-cognates acting as cognates but also identifies 75% of the semi-cognates acting as false friends.

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ID Code: 79707
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: English as a Second Language, Cognate Detection, Disambiguation
ISSN: 1834-7037
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 06 Jan 2015 01:08
Last Modified: 14 Jan 2015 14:09

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