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Central and Eastern European Survey
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Department of Intelligent Systems
Jozef Stefan Institute Research
Research Activities pursued at the organisation
The work at the department mostly centres around machine learning in
different frameworks (e.g. inductive logic programming and genetic
algorithms) and for different domains (e.g. medicine, ecology).
The department is also involved in the field of computational
linguistics. In the past, research dealt with finite-state and
feature-structure models of morphology and syntactic descriptions of
the Slovene language in the framework of HPSG. In recent years the
focus has shifted to other areas, and more towards the field of human
language technologies.
One area of concentration is corpus linguistics, in particular the
development of SGML / TEI annotated textual corpora of Slovene
language. This is being complemented with consulting in the area of
SGML technologies. In tandem with building corpora, other resources
(e.g. lexica) and methods (e.g. tagging) for the Slovene language are
being developed.
Given this development of annotated and validated 'learning sets' for
Slovene language, methods of machine-learning (Slovene) linguistic
structure are also being investigated; we have, so far, used mainly
Inductive Logic Programming as the learning paradigm.
Another research area is the development of new approaches that will
enable addressing different problems of Text and Web data analysis by
applying Machine Learning and Data Mining methods. The research has so
far concentrated on the development of an automatic Web page taxonomy
builder and classifier.
We are also involved in speech technologies, with the focus on
building text-to-speech systems for Slovene.
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This page was generated
04-01-1998
by
Steven Krauwer
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