A New Form of Humor — Mapping Constraint-Based Computational Morphologies to a Finite-State Representation

Attila Novák


Abstract
MorphoLogic’s Humor morphological analyzer engine has been used for the development of several high-quality computational morphologies, among them ones for complex agglutinative languages. However, Humor’s closed source licensing scheme has been an obstacle to making these resources widely available. Moreover, there are other limitations of the rule-based Humor engine: lack of support for morphological guessing and for the integration of frequency information or other weighting of the models. These problems were solved by converting the databases to a finite-state representation that allows for morphological guessing and the addition of weights. Moreover, it has open-source implementations.
Anthology ID:
L14-1207
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:
1068–1073
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/207_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Attila Novák. 2014. A New Form of Humor — Mapping Constraint-Based Computational Morphologies to a Finite-State Representation. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1068–1073, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
A New Form of Humor — Mapping Constraint-Based Computational Morphologies to a Finite-State Representation (Novák, LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/207_Paper.pdf