Computational Morphology with OntoLex-Morph

Christian Chiarcos, Katerina Gkirtzou, Fahad Khan, Penny Labropoulou, Marco Passarotti, Matteo Pellegrini


Abstract
This paper describes the current status of the emerging OntoLex module for linguistic morphology. It serves as an update to the previous version of the vocabulary (Klimek et al. 2019). Whereas this earlier model was exclusively focusing on descriptive morphology and focused on applications in lexicography, we now present a novel part and a novel application of the vocabulary to applications in language technology, i.e., the rule-based generation of lexicons, introducing a dynamic component into OntoLex.
Anthology ID:
2022.ldl-1.10
Volume:
Proceedings of the 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Thierry Declerck, John P. McCrae, Elena Montiel, Christian Chiarcos, Maxim Ionov
Venue:
LDL
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
78–86
Language:
URL:
https://aclanthology.org/2022.ldl-1.10
DOI:
Bibkey:
Cite (ACL):
Christian Chiarcos, Katerina Gkirtzou, Fahad Khan, Penny Labropoulou, Marco Passarotti, and Matteo Pellegrini. 2022. Computational Morphology with OntoLex-Morph. In Proceedings of the 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference, pages 78–86, Marseille, France. European Language Resources Association.
Cite (Informal):
Computational Morphology with OntoLex-Morph (Chiarcos et al., LDL 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-5/2022.ldl-1.10.pdf