Automatic Processing of Various Levels of Linguistic Phenomena _ Selected Papers from The Nooj 2011 International Conference

Every year since 2002, the linguistic development environment NooJ has been enhanced with new online features that allow social scientists to develop new applications and explore new domains. The 2011 conference was no exception and the arrival of v3.0 has brought many more features and a new range of applications, from the analysis of ancient Arabic and old English texts to the analysis of conversations held by the Mars500 mission’s astronauts. At the 2011 conference, members of the European Meta-Net CESAR project announced that NooJ will soon be available Open Source and will become the de-facto standard tool for Corpus processing in European research in Social Science. Today, NooJ is used as a research tool in over 30 academic and research centers in the world and there are NooJ modules available for over 20 languages. The international NooJ conference is organized every year; 50 participants present their work in the domains of Linguistic formalization, Corpus processing and Natural Language Processing applications. The present volume contains a selection of papers from the NooJ 2011 International Conference which was held from 13–15 June 2011 in Dubrovnik, Croatia. This volume presents problems dealing with machine translation, information extraction, processing of multi-word units, automatic disambiguation, semantic analysis, and psychological and literature analysis of various corpora.

Kristina Vu kovi is an Assistant Professor in the Faculty of Humanities and Social Sciences, Department of Information Sciences at the University of Zagreb, Croatia, where she began to work as a research assistant in 2000 on a project entitled Machine Understanding of Natural Languages. She has more than thirty published papers in the areas of natural language processing, with a special interest in NooJ. Bo o Bekavac (linguist and information scientist) is an Assistant Professor in the Faculty of Humanities and Social Sciences at the University of Zagreb, Croatia. He received his PhD (2005) at the same Faculty with a dissertation entitled Automatic Named Entities Recognition in Croatian Texts. He has participated in several European and nationally funded projects. He has published approximately twenty papers in the fields of Named Entity Recognition and Classification (NERC), corpus linguistics, linguistic tools (NooJ, INTEX), computational linguistics and mark-up languages (XML, SGML). Max Silberztein is a Professor at the Université de Franche-Comté, France, where he teaches Computational Linguistics. He is the author of INTEX and NooJ which are development environments used to formalize various linguistic phenomena, from the orthography level to the semantic level.