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Zipf’s Law of Abbreviation and the Principle of Least Effort: Language users optimise a miniature lexicon for efficient communication
•Zipf’s Law of Abbreviation (ZLA): more frequent words tend to be shorter.•His hypothesis: ZLA due to speakers maximising accuracy while minimising effort.•We tested this hypothesis using an artificial language learning task.•We manipulated pressures for communicative accuracy and efficiency.•ZLA-li...
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Published in: | Cognition 2017-08, Vol.165, p.45-52 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Zipf’s Law of Abbreviation (ZLA): more frequent words tend to be shorter.•His hypothesis: ZLA due to speakers maximising accuracy while minimising effort.•We tested this hypothesis using an artificial language learning task.•We manipulated pressures for communicative accuracy and efficiency.•ZLA-like lexicons only arose when both pressures were at play.
The linguist George Kingsley Zipf made a now classic observation about the relationship between a word’s length and its frequency; the more frequent a word is, the shorter it tends to be. He claimed that this “Law of Abbreviation” is a universal structural property of language. The Law of Abbreviation has since been documented in a wide range of human languages, and extended to animal communication systems and even computer programming languages. Zipf hypothesised that this universal design feature arises as a result of individuals optimising form-meaning mappings under competing pressures to communicate accurately but also efficiently—his famous Principle of Least Effort. In this study, we use a miniature artificial language learning paradigm to provide direct experimental evidence for this explanatory hypothesis. We show that language users optimise form-meaning mappings only when pressures for accuracy and efficiency both operate during a communicative task, supporting Zipf’s conjecture that the Principle of Least Effort can explain this universal feature of word length distributions. |
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ISSN: | 0010-0277 1873-7838 |
DOI: | 10.1016/j.cognition.2017.05.001 |