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dc.contributor.author Bond, Francis
dc.contributor.author Janz, Arkadiusz
dc.contributor.author Maziarz, Marek
dc.contributor.author Rudnicka, Ewa
dc.date.accessioned 2025-12-09T11:17:18Z
dc.date.available 2025-12-09T11:17:18Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/11321/973
dc.description According to George K. Zipf, more frequent words have more senses. We have tested this law using corpora and wordnets of English, Spanish, Portuguese, French, Polish, Japanese, Indonesian and Chinese. We have proved that the law works pretty well for all of these languages if we take - as Zipf did - mean values of meaning count and averaged ranks. On the other hand, the law disastrously fails in predicting the number of senses for a single lemma. We have also provided the evidence that slope coefficients of Zipfian log-log linear model may vary from language to language.
dc.language.iso eng
dc.publisher GWC
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.label CC
dc.subject wordnet
dc.subject lexical units
dc.subject sens
dc.subject Zipf’s meaning-frequency law
dc.title Testing Zipf’s meaning-frequency law with wordnets as sense inventories
dc.type languageDescription
metashare.ResourceInfo#ContentInfo.detailedType other
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN-PL
contact.person Bartłomiej Alberski bartlomiej.alberski@pwr.edu.pl Politechnika Wrocławska
sponsor NCN 2018/29/B/HS2/02919, Project CLARIN-PL, and the NTU Digital Humanities Research Cluster. nationalFunds
files.size 167984
files.count 1


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