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

Základní údaje

Originální název

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

Autoři

DENISOVÁ, Michaela (703 Slovensko, garant, domácí)

Vydání

Brno, Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022, od s. 4-13, 10 s. 2022

Nakladatel

Tribun EU

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

Domovská stránka workshopu Plný text

Kód RIV

RIV/00216224:14330/22:00127476

Organizační jednotka

Fakulta informatiky

ISBN

978-80-263-1752-4

ISSN

Klíčová slova anglicky

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

Změněno: 15. 5. 2024 09:27, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

EF19_073/0016943, projekt VaV

Název: Interní grantová agentura Masarykovy univerzity

MUNI/IGA/1285/2021, interní kód MU

Název: Finding translation equivalents without parallel texts

Investor: Masarykova univerzita, Finding translation equivalents without parallel texts

Citovat

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, s. 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://raslan2022.nlp-consulting.net/},
   year = {2022}
}

TY  - JOUR
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://raslan2022.nlp-consulting.net/
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, s.~4-13. ISBN~978-80-263-1752-4.

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