Universals of word order reflect optimization of grammars for efficient communication
The universal properties of human languages have been the subject of intense study across the language sciences. We report computational and corpus evidence for the hypothesis that a prominent subset of these universal properties—those related to word order—result from a process of optimization for...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 117; no. 5; pp. 2347 - 2353 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
04.02.2020
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Subjects | |
Online Access | Get full text |
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Summary: | The universal properties of human languages have been the subject of intense study across the language sciences. We report computational and corpus evidence for the hypothesis that a prominent subset of these universal properties—those related to word order—result from a process of optimization for efficient communication among humans, trading off the need to reduce complexity with the need to reduce ambiguity. We formalize these two pressures with information-theoretic and neuralnetwork models of complexity and ambiguity and simulate grammars with optimized word-order parameters on large-scale data from 51 languages. Evolution of grammars toward efficiency results in word-order patterns that predict a large subset of the major word-order correlations across languages. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Edited by William Croft, University of New Mexico, Albuquerque, NM, and accepted by Editorial Board Member Susan A. Gelman December 16, 2019 (received for review June 30, 2019) Author contributions: M.H., D.J., and R.F. designed research; M.H. performed research; and M.H., D.J., and R.F. wrote the paper. |
ISSN: | 0027-8424 1091-6490 1091-6490 |
DOI: | 10.1073/pnas.1910923117 |