Automatic creation of WordNets from parallel corpora

Antoni Oliver, Salvador Climent

Abstract
In this paper we present the evaluation results for the creation of WordNets for five languages (Spanish, French, German, Italian and Portuguese) using an approach based on parallel corpora. We have used three very large parallel corpora for our experiments: DGT-TM, EMEA and ECB. The English part of each corpus is semantically tagged using Freeling and UKB. After this step, the process of WordNet creation is converted into a word alignment problem, where we want to alignWordNet synsets in the English part of the corpus with lemmata on the target language part of the corpus. The word alignment algorithm used in these experiments is a simple most frequent translation algorithm implemented into the WN-Toolkit. The obtained precision values are quite satisfactory, but the overall number of extracted synset-variant pairs is too low, leading into very poor recall values. In the conclusions, the use of more advanced word alignment algorithms, such as Giza++, Fast Align or Berkeley aligner is suggested.
Anthology ID:
L14-1144
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:
1112–1116
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/121_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Antoni Oliver and Salvador Climent. 2014. Automatic creation of WordNets from parallel corpora. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1112–1116, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Automatic creation of WordNets from parallel corpora (Oliver & Climent, LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/121_Paper.pdf
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