Guidelines for RussNet structuring
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F04%3A00010445" target="_blank" >RIV/00216224:14330/04:00010445 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
ruština
Original language name
Guidelines for RussNet structuring
Original language description
This paper describes methods of constructing RussNet - a wordnet-like thesaurus for Russian. The first part of the paper deals with the standard wordnet techniques developed in the frame of Princeton WordNet, EuroWordNet and BalkaNet projects, and theiradjustment for the Russian data. The obtained results have their practical value for the RussNet project, nonetheless, they are of theoretical importance, as they allow us to estimate the existing lexical Russian resources, such as explanatory dictionaries, thesauri and semantic lexicons from the viewpoint of lexical knowledge extraction and representation. In the second part of the paper we present a general strategy of RussNet construction using various lexical resources for Russian, such as text corpora, frequency lists, conventional dictionary definitions and word association norms. The presented methods enable us to adequately represent the specific features of the Russian lexicon, and to minimize the subjectivity of lexical data d
Czech name
Doporučení pro členění RussNet
Czech description
This paper describes methods of constructing RussNet - a wordnet-like thesaurus for Russian. The first part of the paper deals with the standard wordnet techniques developed in the frame of Princeton WordNet, EuroWordNet and BalkaNet projects, and theiradjustment for the Russian data. The obtained results have their practical value for the RussNet project, nonetheless, they are of theoretical importance, as they allow us to estimate the existing lexical Russian resources, such as explanatory dictionaries, thesauri and semantic lexicons from the viewpoint of lexical knowledge extraction and representation. In the second part of the paper we present a general strategy of RussNet construction using various lexical resources for Russian, such as text corpora, frequency lists, conventional dictionary definitions and word association norms. The presented methods enable us to adequately represent the specific features of the Russian lexicon, and to minimize the subjectivity of lexical data d
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/IA33504" target="_blank" >IA33504: XXX</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
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 Dialogue 2004 International Conference on the Computational Linguistics and Intellectual Technologies
ISBN
5-02-002826-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
232-241
Publisher name
Nauka
Place of publication
Moskow
Event location
Verhnevolzhsky
Event date
Jan 1, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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