Central and Eastern European Survey

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Type of Organisation: public
Number of Employees: Less than 10
Activities developed: Research, Services, Software.

The Department of Intelligent Systems at the Jozef Stefan Institute is one of the established European computer science research groups with a 20 year tradition of R&D in artificial intelligence, intelligent systems, information systems, medical informatics, cognitive sciences and natural language processing. Our work in NLP focuses mainly on the development of resources of natural language, primarily Slovene, on research on computational models of language and on practical applications in the field of human language technologies. The main research areas of the NLP group are text and web mining, corpus linguistics, natural language learning, and speech generation. Implemented systems include an award-winning text-to-speech system for Slovene, an automatic Web page taxonomy builder and classifier, and a Web based concordancer. The department has participated in a number of LT-related projects. Recent EU projects are MULTEXT-East (Multilingual Text Tools and Corpora for East European Languages); CONCEDE (Consortium for Dictionary Encoding); ELAN (European Language Activity Network); the Copernicus concerted action TELRI (Trans-European Linguistic Resources Infrastructure); and COST 258 (The Naturalness of Synthetic Speech). Recent national projects include Development of Digital Publishing with Distance Learning Support; FIDA: Reference Corpus of the Slovene Language; and The Personal WebWatcher Project. Members of the department are actively involved in the work of the Slovenian Language Technologies Society, in the European Chapter of the Association for Computational Linguistics and in the Text Encoding Initiative Consortium and have participated in the organisation of a number of LT-related conferences, seminars and workshops at home and abroad. The equipment at the department includes Unix workstations and personal computers. The department has good Internet connections with several high-traffic WWW servers.

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