Linguistic Text Compression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26138077%3A_____%2F11%3A%230000236" target="_blank" >RIV/26138077:_____/11:#0000236 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Linguistic Text Compression
Original language description
Compression of texts written in natural language can exploit information about its linguistic structure. We show that separation of coding of part-of-speech tags of a sentence (so called sentence types) from the text and coding this sentence types separately can improve resulting compression ratio. For this purpose the tagging method NNTagger based on neural networks is designed. This article is focused on a specification and formalization of a compression model of texts written in Czech. Language withsuch a complicated morphology contains a great amount of implicit grammatical information of a sentence and it is thus suitable for this approach. We propose methods of constructing of initial dictionaries and test their influence on resulting compression ratio.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of The Sixth International Conference on Digital Telecommunications (ICDT 2011)
ISBN
978-1-61208-127-4
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
64-73
Publisher name
IARIA
Place of publication
Budapest
Event location
Budapest
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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