Automatic Methods for the Extension of a Bilingual Dictionary using Comparable Corpora

Michael Rosner, Kurt Sultana


Abstract
Bilingual dictionaries define word equivalents from one language to another, thus acting as an important bridge between languages. No bilingual dictionary is complete since languages are in a constant state of change. Additionally, dictionaries are unlikely to achieve complete coverage of all language terms. This paper investigates methods for extending dictionaries using non-aligned corpora, by finding translations through context similarity. Most methods compute word contexts from general corpora. This can lead to errors due to data sparsity. We investigate the hypothesis that this problem can be addressed by carefully choosing smaller corpora in which domain-specific terms are more predominant. We also introduce the notion of efficiency which we consider as the effort required to obtain a set of dictionary entries from a given corpus
Anthology ID:
L14-1120
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3790–3797
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1169_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Michael Rosner and Kurt Sultana. 2014. Automatic Methods for the Extension of a Bilingual Dictionary using Comparable Corpora. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3790–3797, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Automatic Methods for the Extension of a Bilingual Dictionary using Comparable Corpora (Rosner & Sultana, LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1169_Paper.pdf