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Demonext consists in the construction of a French morphological database (MDB) that describes the derivational properties of words in a systematic manner. The MDB will meet multiple needs, such as empirical confirmation of morphological hypothesis and elaboration of new ones, design of natural language processing (NLP) tools, vocabulary teaching and the treatment of developmental or acquired language disorders.
Demonext is a research project funded by the French National Research Agency (ANR), identified as ANR-17-CE23-0005
Reference article
If you wish to use the Démonette database or any other resource produced as part of the Démonext project for research purposes, please cite the following article.
Namer, F., N. Hathout, D. Amiot, L. Barque, O. Bonami, G. Boyé, B. Calderone, J. Cattini, G. Dal, A. Delaporte, G. Duboisdindien, A. Falaise, N. Grabar, P. Haas, F. Henry, M. Huguin, J. Nyoman, L. Liégeois, S. Lignon, L. Macchi, G. Manucharian, C. Masson, F. Montermini, N. Okinina, F. Sajous, D. Sanacore, M. Thi Tran, J. Thuilier, Y. Toussaint and D. Tribout (2023). “Démonette-2, a derivational database for French with broad lexical coverage and fine-grained morphological descriptions.” Lexique 33: 6-40, DOI:10.54563/lexique.1242, <hal-04363595>