DENISOVÁ, Michaela. Parallel, or Comparable? That Is the Question - The Comparison of Parallel and Comparable Data-based Methods for Bilingual Lexicon Induction. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Brno: Tribun EU, 2022, p. 4-13. ISBN 978-80-263-1752-4.
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Basic information
Original name Parallel, or Comparable? That Is the Question - The Comparison of Parallel and Comparable Data-based Methods for Bilingual Lexicon Induction
Authors DENISOVÁ, Michaela (703 Slovakia, guarantor, belonging to the institution).
Edition Brno, Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022, p. 4-13, 10 pp. 2022.
Publisher Tribun EU
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10200 1.2 Computer and information sciences
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW Plný text Domovská stránka workshopu
RIV identification code RIV/00216224:14330/22:00127476
Organization unit Faculty of Informatics
ISBN 978-80-263-1752-4
ISSN 2336-4289
Keywords in English Parallel data; Comparable data; Translation equivalents’ extraction; Estonian; Slovak
Changed by Changed by: Mgr. Michaela Denisová, učo 449884. Changed: 16/1/2024 09:07.
Abstract
Extracting translation equivalents from parallel data has been considered the main and most efficient method in the lexicography field. However, parallel data are not always available or sufficient, especially for rare and low-resource language pairs. Translation equivalents obtained from comparable data offer a solution for this problem. This paper compares the performance of some methods that utilize either parallel or comparable data and demonstrates the results on the Estonian-Slovak language combination. We show that comparable data usage aspires to be a viable alternative for low-resource languages or rare language pairs, and we propose a new equation for more effective translation equivalents’ induction.
Links
EF19_073/0016943, research and development projectName: Interní grantová agentura Masarykovy univerzity
MUNI/IGA/1285/2021, interní kód MUName: Finding translation equivalents without parallel texts
Investor: Masaryk University
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