Porting Multilingual Morphological Resources to OntoLex-Lemon

Thierry Declerck, Stefania Racioppa

In: Galia Angelova , Ruslan Mitkov , Ivelina Nikolova , Irina Temnikova (Hrsg.). Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. Recent Advances in Natural Language Processing (RANLP-2019) September 2-4 Varna Bulgaria INCOMA Ltd. Shoumen, Bulgaria 9/2019.


We describe work consisting in porting various morphological resources to the OntoLex- Lemon model. A main objective of this work is to offer a uniform representation of different morphological data sets in order to be able to compare and interlink multilingual resources and to cross-check and interlink or merge the content of morphological resources of one and the same language. The results of our work will be published on the Linguistic Linked Open Data cloud.



Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence