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dc.contributor.authorFerrer Cancho, Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2020-03-17T10:54:17Z
dc.date.available2020-03-17T10:54:17Z
dc.date.issued2005-01
dc.identifier.citationFerrer-i-Cancho, R. Decoding least effort and scaling in signal frequency distributions. "Physica A: statistical mechanics and its applications", Gener 2005, vol. 345, núm. 1-2, p. 275-284.
dc.identifier.issn0378-4371
dc.identifier.urihttp://hdl.handle.net/2117/180172
dc.description.abstractHere, assuming a general communication model where objects map to signals, a power function for the distribution of signal frequencies is derived. The model relies on the satisfaction of the receiver (hearer) communicative needs when the entropy of the number of objects per signal is maximized. Evidence of power distributions in a linguistic context (some of them with exponents clearly different from the typical ß ˜ 2 of Zipf's law) is reviewed and expanded. We support the view that Zipf's law reflects some sort of optimization but following a novel realistic approach where signals (e.g. words) are used according to the objects (e.g. meanings) they are linked to. Our results strongly suggest that many systems in nature use non-trivial strategies for easing the interpretation of a signal. Interestingly, constraining just the number of interpretations of signals does not lead to scaling.
dc.format.extent10 p.
dc.language.isoeng
dc.rights© 2004 Elsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshComputational linguistics
dc.subject.lcshZipf’s law
dc.subject.lcshEntropy (Information theory)
dc.subject.otherScaling
dc.subject.otherHuman language
dc.subject.otherAnimal communication
dc.titleDecoding least effort and scaling in signal frequency distributions
dc.typeArticle
dc.subject.lemacLingüística computacional
dc.subject.lemacEntropia (Teoria de la informació)
dc.identifier.doi10.1016/j.physa.2004.06.158
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0378437104008611
dc.rights.accessOpen Access
local.identifier.drac1653891
dc.description.versionPostprint (author's final draft)
local.citation.authorFerrer-i-Cancho, R.
local.citation.publicationNamePhysica A: statistical mechanics and its applications
local.citation.volume345
local.citation.number1-2
local.citation.startingPage275
local.citation.endingPage284


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