Central and Eastern European Survey
Department of Intelligent Systems
Jozef Stefan Institute General Info
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
The equipment at the department includes Unix workstations and
personal computers. The department has good Internet connections with
several high-traffic WWW servers.