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  • 标题:Universals of word order reflect optimization of grammars for efficient communication
  • 本地全文:下载
  • 作者:Michael Hahn ; Dan Jurafsky ; Richard Futrell
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2020
  • 卷号:117
  • 期号:5
  • 页码:2347-2353
  • DOI:10.1073/pnas.1910923117
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要: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 neural-network 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.
  • 关键词:language universals ; language processing ; computational linguistics
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