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dc.contributor.authorLyon, C.
dc.contributor.authorNehaniv, C.L.
dc.contributor.authorDickerson, B.
dc.date.accessioned2008-02-28T10:02:55Z
dc.date.available2008-02-28T10:02:55Z
dc.date.issued2005
dc.identifier.citationLyon , C , Nehaniv , C L & Dickerson , B 2005 , Entropy Indicators for Investigating Early Language Processes . in In: AISB'05 : Social Intelligence and Interaction in Animals, Robots and Agents. Proceedings of the Second International Symposium on the Emergence and Evolution of Linguistic Communication (EELC '05) . The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) , pp. 64-71 .
dc.identifier.isbn1 902956 40 9
dc.identifier.otherdspace: 2299/1693
dc.identifier.urihttp://hdl.handle.net/2299/1693
dc.descriptionOriginal paper can be found at: http://www.aisb.org.uk/publications/proceedings/aisb05/1_EELC_Final.pdf
dc.description.abstractWe examine evidence for the hypothesis that language could have passed through a stage when words were combined in structured linear segments and these linear segments could later have become the building blocks for a full hierarchical grammar. Experiments were carried out on the British National--Corpus, consisting of about 100 million words of text from different domains and transcribed speech.--This work extends and supports the results of our previouswork based on a smaller corpus reported previously. Measuring the entropy of the texts we find that entropy declines as words are taken in groups--of 2, 3 and 4, indicating that it is easier to decode words taken in short sequences rather than individually. Entropy further declines when punctuation is represented, showing that appropriate segmentation captures some of the language structure. Further support for the hypothesis that local sequential processing underlies the production and perception of speech comes from neurobiological evidence. The observation that homophones are apparently ubiquitous and used without confusion also suggests that language processing may be largely based on local context.en
dc.format.extent57734
dc.language.isoeng
dc.publisherThe Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
dc.relation.ispartofIn: AISB'05 : Social Intelligence and Interaction in Animals, Robots and Agents. Proceedings of the Second International Symposium on the Emergence and Evolution of Linguistic Communication (EELC '05)
dc.titleEntropy Indicators for Investigating Early Language Processesen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Engineering and Technology
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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