Formalising Natural Languages with Nooj 2014
This volume is composed of 22 peer-reviewed contributions selected from among the 52 presentations submitted for the 2014 International NooJ Conference held at the University of Sassari, Italy.
NooJ is a linguistic development environment that allows linguists to formalize a wide range of linguistic phenomena, and then test, adapt, share and accumulate each elementary description so as to build linguistic “modules”, that is, structured libraries of linguistic resources. NooJ is also used as a corpus processor that can launch sophisticated queries over large corpora of texts, in order to produce various results, including concordances, statistical analyses, information extraction, and automatic translation.
NooJ is used in many research centers all over the world, and linguistic modules are available for more than 20 languages. NooJ is also used by a growing number of software companies to develop various Natural Language Processing applications.
Johanna Monti is Associate Professor at the University of Sassari, Italy, where she teaches Translation Studies, Computational Linguistics, and Machine-Translation and Computer-Aided Translation. She has acted as a member of the scientific committees of various renowned international conferences on Natural Language Processing, and as external evaluator for the Italian Ministry for Education, Universities and Research (MIUR) and the Horizon 2020 programme.
Max Silberztein is a Professor at the Université de Franche-Comté, Besançon, France, where he teaches Linguistics, Computational Linguistics, and Computer Sciences. He is the author of the NooJ linguistic development software used to describe over 30 languages and to construct Natural Language Processing software applications.
Mario Monteleone has a PhD in Computational Linguistics, and is Assistant Professor of General and Computational Linguistics at the Department of Political, Social and Communication Sciences at the University of Salerno, Italy. His research activities mainly focus on computational morphology and syntax.
Maria Pia Di Buono is a PhD candidate in Communication Science at the University of Salerno and a Research Fellow in Computational Linguistics. Her research topics focus on the development and application of computational methods to address problems in semi-automatic knowledge representation and extraction, especially in the cultural heritage domain.
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