One of the main goals of this paper is to describe a formal procedure linking inflectional and derivational processes in Czech and to indicate that they can be, if appropriate tools and resources are used, applied to other Slavonic languages. The tools developed at the NLP Laboratory FI MU, have been used, particularly the morphological analyser ajka and the program I par for processing and maintaining the morphological database.
This paper deals with automatic structuring and sentence boundary labelling in natural language texts. We describe the implemented structure tagging algorithm and heuristic rules that are used for automatic or semiautomatic labelling. Inside the detected sentence the algorithm performs a decomposition to clauses and then marks the parts of text which do not form a sentence, i.e. headings, signatures, tables and other structured data. We also pay attention to the processing of matched symbols in the text, especially to the analysis of direct speech notation. The research is sponsored by the Czech Ministry of Education under the grant VS 97028.
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