Detailed Information on Publication Record
2017
Polysemy and Synonymy in Syntactic Dependency Networks
CECH, Radek, Jan MACUTEK, Zdeněk ŽABOKRTSKÝ and Aleš HORÁKBasic information
Original name
Polysemy and Synonymy in Syntactic Dependency Networks
Authors
CECH, Radek (203 Czech Republic, guarantor), Jan MACUTEK (203 Czech Republic), Zdeněk ŽABOKRTSKÝ (203 Czech Republic) and Aleš HORÁK (203 Czech Republic, belonging to the institution)
Edition
Digital Scholarship Humanities, Oxford University Press, 2017, 2055-7671
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 0.563
RIV identification code
RIV/00216224:14330/17:00094465
Organization unit
Faculty of Informatics
UT WoS
000398126100003
Keywords in English
polysemy;synonymy;semantic networks;wordnet
Tags
International impact, Reviewed
Změněno: 27/4/2018 10:12, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
The relationship between two important semantic properties (polysemy and synonymy) of language and one of the most fundamental syntactic network properties (a degree of the node) is observed. Based on the synergetic theory of language, it is hypothesized that a word which occurs in more syntactic contexts, i.e. it has a higher degree, should be more polysemous and have more synonyms than a word which occurs in less syntactic contexts, i.e. it has a lesser degree. Six languages are used for hypotheses testing and, tentatively, the hypotheses are corroborated. The analysis of syntactic dependency networks presented in this study brings a new interpretation of the well-known relationship between frequency and polysemy (or synonymy).
Links
GAP401/10/0792, research and development project |
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LM2010013, research and development project |
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VF20102014003, research and development project |
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