Searching and Summarizing in Multilingual Environment

Searching and Summarizing in Multilingual Environment

Multilingual text processing has become an important field bringing a lot of new and interesting problems. Their possible solutions are proposed in this paper. Its first part is devoted to methods for multilingual searching, the second part deals with the summarization of retrieved texts. We tested several novel processing techniques: a language-independent storage format, semantic-based indexing, query expansion or text summarization leading to faster and easier retrieval and understanding of documents.

Keywords: multilingual text processing; searching; summarization; EuroWordNet

Year: 2006

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Authors of this publication:


Michal Toman


E-mail: mtoman@kiv.zcu.cz

Michal graduated at UWB in 2003, specialized in software engineering. Currently, he is a PhD student interested in information retrieval, multilingual text processing, word sense disambiguation and knowledge discovery.

Josef Steinberger


E-mail: jstein@kiv.zcu.cz

Josef is an associated professor at the Department of computer science and engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in media monitoring and analysis, mainly automatic text summarisation, sentiment analysis and coreference resolution.

Karel Je┼żek


Phone:  +420 377632475, 377632400
E-mail: jezek_ka@kiv.zcu.cz
WWW: http://www-kiv.zcu.cz/~jezek_ka/

Karel is a group coordinator and a supervisor of PhD students working at research projects of this Group.

Related Projects:


Project

Automatic Text Summarisation

Authors:  Josef Steinberger, Karel Je┼żek, Michal Campr, Ji┼Ö├ş Hynek
Desc.:Automatic text summarisation using various text mining methods, mainly Latent Semantic Analysis (LSA).