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Text segmentation in Polish

Authors: Pawel P. Mazur;

Text segmentation in Polish

Abstract

In the paper a great importance of text segmentation in natural language engineering and in artificial intelligence systems has been pointed out. It has been shown that in Polish all punctuation marks that end sentences have also other functions in sentences. In this context various approaches to sentence boundary disambiguation have been presented. Taking features of Polish into consideration, text tokenization has been analysed. The direction of empirical research on Polish texts segmentation based on the analysis contained in this paper has been drawn. Also the list of Polish abbreviations that have the same spelling as some common words has been presented.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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