LEXICAL-SEMANTIC ARCHITECTURE OF MODERN WORDNET SYSTEMS
DOI:
https://doi.org/10.5281/zenodo.18278076Keywords:
WordNet, synset, lexical-semantic network, Princeton WordNet, RuWordNet, Japanese WordNet, Korean WordNet, Turkish WordNet, Global WordNet Association, semantic relationsAbstract
This article presents a scholarly analysis of the WordNet model and the lexical-semantic networks developed
on an international scale. The study first examines the conceptual framework of Princeton WordNet, which is based
on psycholinguistic principles and structured through synsets, glosses, and semantic relations. It further explores the
architecture, functional characteristics, and role of WordNet versions 2.1 and 3.1 in natural language processing (NLP)
tasks. National systems such as RuWordNet, Japanese WordNet, Korean WordNet, and Turkish WordNet are analyzed
using comparative statistical indicators, and the mechanisms of their integration into the general WordNet paradigm
are identified. The article also highlights the global significance of WordNet in the development of multilingual semantic
networks and its functional potential as a linguistic and computational resource
References
Miller G.A., Beckwith R., Fellbaum C., Gross D., and Miller K.J. Introduction to WordNet: An on-line lexical
database. International journal of lexicography, 1990. –p. 219.
Miller G.A. WordNet: An on-line lexical database. International Journal of Lexicography, 1990;
Miller G.A., and Johnson-Laird P. Language and Perception. Harvard University Press, 1976;
Miller G.A. WordNet: A lexical database for English. Communications of the ACM, 1995;
Fellbaum C. WordNet. In: Theory and Applications of Ontology, 2010;
Fellbaum C. Impact of WordNet on natural language processing. In Proceedings of the ACL Workshop, 2000;
Resnik P. Using information content to evaluate semantic similarity. Proceedings of IJCAI, 1995;
Banerjee S., and Pedersen T. Extended gloss overlaps for sense disambiguation. Proceedings of CICLing, 2003;
Lesk M. Automatic sense disambiguation using dictionary overlaps. SIGDOC Conference Proceedings, 1986;
Pedersen T. WordNet-based similarity measures. University of Minnesota Technical Reports, 2004;
Pianta E., Bentivogli A., and Girardi C. MultiWordNet: Developing an aligned multilingual WordNet. Proceedings of
GWC, 2002;
https://globalwordnet.github.io
https://bond-lab.github.io/wnja/
h t t p : / / w ww. l t - w o r l d . o r g / k b / r e s o u r c e s - a n d - t o o l s / l a nguage-descriptions/ltw_x3alanguage_
x5fdescriptions_.2010-10-28.2540969419