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Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings

Claudia Borg, Albert Gatt


Abstract
The automatic discovery and clustering of morphologically related words is an important problem with several practical applications. This paper describes the evaluation of word clusters carried out through crowd-sourcing techniques for the Maltese language. The hybrid (Semitic-Romance) nature of Maltese morphology, together with the fact that no large-scale lexical resources are available for Maltese, make this an interesting and challenging problem.
Anthology ID:
L14-1617
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:
3325–3332
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/793_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Claudia Borg and Albert Gatt. 2014. Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3325–3332, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings (Borg & Gatt, LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/793_Paper.pdf