Parallel, or Comparable? That Is the Question - The Comparison
of Parallel and Comparable Data-based Methods for Bilingual
Lexicon Induction

D 2022

Parallel, or Comparable? That Is the Question - The Comparison of Parallel and Comparable Data-based Methods for Bilingual Lexicon Induction

DENISOVÁ, Michaela

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

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"

References:

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

EID Scopus

2-s2.0-85171364581

Keywords in English

Parallel data; Comparable data; Translation equivalents’ extraction; Estonian; Slovak

Abstract

In the original language

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 project

Name: Interní grantová agentura Masarykovy univerzity

MUNI/IGA/1285/2021, interní kód MU

Name: Finding translation equivalents without parallel texts

Investor: Masaryk University

Cite

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.

@inproceedings{2240123,
   author = {Denisová, Michaela},
   address = {Brno},
   booktitle = {Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022},
   editor = {Aleš Horák, Pavel Rychlý, Adam Rambousek},
   keywords = {Parallel data; Comparable data; Translation equivalents’ extraction; Estonian; Slovak},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Brno},
   isbn = {978-80-263-1752-4},
   pages = {4-13},
   publisher = {Tribun EU},
   title = {Parallel, or Comparable? That Is the Question - The Comparison of Parallel and Comparable Data-based Methods for Bilingual Lexicon Induction},
   url = {https://nlp.fi.muni.cz/raslan/2022/paper8.pdf},
   year = {2022}
}

TY  - CONF
ID  - 2240123
AU  - Denisová, Michaela
PY  - 2022
TI  - Parallel, or Comparable? That Is the Question - The Comparison of Parallel and Comparable Data-based Methods for Bilingual Lexicon Induction
PB  - Tribun EU
CY  - Brno
SN  - 9788026317524
KW  - Parallel data
KW  - Comparable data
KW  - Translation equivalents’ extraction
KW  - Estonian
KW  - Slovak
UR  - https://nlp.fi.muni.cz/raslan/2022/paper8.pdf
N2  - 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.
ER  -

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. \textit{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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