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Depositordc.contributorKanwal, Jasmeen
Funderdc.contributor.otherUniversity of Edinburghen_UK
Time Perioddc.coverage.temporalstart=2015; end=2017; scheme=W3C-DTFen
Data Creatordc.creatorKanwal, Jasmeen
Date Accessioneddc.date.accessioned2017-05-03T14:31:54Z
Date Availabledc.date.available2017-05-03T14:31:54Z
Citationdc.identifier.citationKanwal, Jasmeen. (2017). Data from the paper "Zipf's Law of Abbreviation and the Principle of Least Effort: Language users optimise a miniature lexicon for efficient communication", 2015-2017 [dataset]. https://doi.org/10.7488/ds/2039.en
Persistent Identifierdc.identifier.urihttp://hdl.handle.net/10283/2702
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2039
Dataset Description (abstract)dc.description.abstractThis is the full set of experimental data described in the paper: "Zipf's Law of Abbreviation and the Principle of Least Effort: Language users optimise a miniature lexicon for efficient communication" (2017), by Jasmeen Kanwal, Kenny Smith, Jennifer Culbertson, and Simon Kirby, published in Cognition. Data consists of .csv files containing button press information from director trials in each of 4 experimental conditions. A description of the columns in the .csv files is provided in the Readme.txt file.en_UK
Dataset Description (TOC)dc.description.tableofcontentsSee Readme.txt.en_UK
Languagedc.language.isoengen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyDOI: 10.1016/j.cognition.2017.05.001 (URL will posted as soon as it is available)en_UK
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Subjectdc.subjectZipf's Law of Abbreviationen_UK
Subjectdc.subjectPrinciple of Least Efforten_UK
Subjectdc.subjectefficient communicationen_UK
Subject Classificationdc.subject.classificationLinguistics Classics and related subjectsen_UK
Titledc.titleData from the paper "Zipf's Law of Abbreviation and the Principle of Least Effort: Language users optimise a miniature lexicon for efficient communication"en_UK
Typedc.typedataseten_UK

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  • Interaction Experiments
    This collection contains data from behavioural experiments involving interaction between two or more participants using an artificial language.

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