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Updated: Feb 28, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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Dependency distance: A new perspective on syntactic patterns in natural languages.

Haitao Liu1, Chunshan Xu2, Junying Liang3

  • 1Centre for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies, Guangzhou, 510420, China; Department of Linguistics, Zhejiang University, Hangzhou, 310058, China; Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China.

Physics of Life Reviews
|June 19, 2017
PubMed
Summary

Human languages show a universal preference for minimizing dependency distance (DDM) to reduce memory load. This linguistic pattern, observed across natural languages, balances efficiency with the need for occasional long-distance dependencies.

Keywords:
Dependency distanceLanguage universalSyntactic patterns

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Area of Science:

  • Linguistics
  • Cognitive Science
  • Computational Linguistics

Background:

  • Dependency distance, the linear separation between syntactically linked words, is a key metric for memory burden and syntactic complexity.
  • Memory constraints are universal, suggesting a potential cross-linguistic principle for managing cognitive load in language.

Purpose of the Study:

  • To investigate the hypothesis of a universal preference for dependency distance minimization (DDM) in human languages.
  • To explore the evolutionary pressures and constraints that shape syntactic diversity under the principle of DDM.

Main Methods:

  • Analysis of large-scale corpora of natural languages.
  • Comparison of dependency distance distributions in natural versus artificial random languages.
  • Examination of long-tailed distributions characterized by prevalent short dependencies and infrequent long ones.

Main Results:

  • Natural languages exhibit significantly shorter dependency distances compared to artificial random languages.
  • Data consistently show long-tailed distributions, with most dependencies being short and a few being long.
  • The study supports the existence of a universal pressure for dependency distance minimization.

Conclusions:

  • A universal preference for dependency distance minimization (DDM) appears to be a fundamental principle shaping human language syntax.
  • Syntactic diversity arises from the interplay between the DDM principle and other biological or functional constraints that necessitate occasional long-distance dependencies.
  • These universal constraints are crucial in the evolution of the rich tapestry of syntactic patterns observed in human languages.