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dc.contributor.authorHernández Fernández, Antonio
dc.contributor.authorCasas Fernández, Bernardino
dc.contributor.authorFerrer Cancho, Ramon
dc.contributor.authorBaixeries i Juvillà, Jaume
dc.contributor.otherUniversitat Politècnica de Catalunya. Institut de Ciències de l'Educació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-03-04T12:02:53Z
dc.date.available2017-03-04T12:02:53Z
dc.date.issued2016
dc.identifier.citationHernandez Fernandez, A., Casas, B., Ferrer-i-Cancho, R., Baixeries, J. Testing the robustness of laws of polysemy and brevity versus frequency. A: International Conference on Statistical Language and Speech Processing. "Statistical Language and Speech Processing: 4th International Conference, SLSP 2016, Pilsen, Czech Republic, October 11-12, 2016, Proceedings". Pilsen: Springer, 2016, p. 19-29.
dc.identifier.isbn978-3-319-45925-7
dc.identifier.urihttp://hdl.handle.net/2117/101921
dc.description.abstractThe pioneering research of G.K. Zipf on the relationship between word frequency and other word features led to the formulation of various linguistic laws. Here we focus on a couple of them: the meaning-frequency law, i.e. the tendency of more frequent words to be more polysemous, and the law of abbreviation, i.e. the tendency of more frequent words to be shorter. Here we evaluate the robustness of these laws in contexts where they have not been explored yet to our knowledge. The recovery of the laws again in new conditions provides support for the hypothesis that they originate from abstract mechanisms.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshComputational linguistics--Mathematical models
dc.subject.otherZipf’s law
dc.subject.otherPolysemy
dc.subject.otherBrevity
dc.subject.otherWord frequency
dc.titleTesting the robustness of laws of polysemy and brevity versus frequency
dc.typeConference report
dc.subject.lemacLingüística computacional -- Mètodes estadístics
dc.contributor.groupUniversitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
dc.identifier.doi10.1007/978-3-319-45925-7_2
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-45925-7_2
dc.rights.accessOpen Access
local.identifier.drac19032053
dc.description.versionPostprint (author's final draft)
local.citation.authorHernandez Fernandez, A.; Casas, B.; Ferrer-i-Cancho, R.; Baixeries, J.
local.citation.contributorInternational Conference on Statistical Language and Speech Processing
local.citation.pubplacePilsen
local.citation.publicationNameStatistical Language and Speech Processing: 4th International Conference, SLSP 2016, Pilsen, Czech Republic, October 11-12, 2016, Proceedings
local.citation.startingPage19
local.citation.endingPage29


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