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Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality

arXiv 2206.04239 ↗First posted 9 Jun 2022cs.CLcited by 10

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Abstract (arXiv)

Languages vary considerably in syntactic structure. About 40% of the world's languages have subject-verb-object order, and about 40% have subject-object-verb order. Extensive work has sought to explain this word order variation across languages. However, the existing approaches are not able to explain coherently the frequency distribution and evolution of word order in individual languages. We propose that variation in word order reflects different ways of balancing competing pressures of dependency locality and information locality, whereby languages favor placing elements together when they are syntactically related or contextually informative about each other. Using data from 80 languages in 17 language families and phylogenetic modeling, we demonstrate that languages evolve to balance these pressures, such that word order change is accompanied by change in the frequency distribution of the syntactic structures which speakers communicate to maintain overall efficiency. Variability in word order thus reflects different ways in which languages resolve these evolutionary pressures. We identify relevant characteristics that result from this joint optimization, particularly the frequency with which subjects and objects are expressed together for the same verb. Our findings suggest that syntactic structure and usage across languages co-adapt to support efficient communication under limited cognitive resources.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 8 of its 187 references that are in the map. First posted on arXiv 9 Jun 2022.

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8 of 187 references.

References · 8

  1. 2016CVXPY: A Python-Embedded Modeling Language for Convex Optimizationcited by 633
  2. 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 269
  3. 2018Formal Limitations on the Measurement of Mutual Informationcited by 189
  4. 2014Geodesic Exponential Kernels: When Curvature and Linearity Conflictcited by 47
  5. 2018Color naming reflects both perceptual structure and communicative needcited by 13
  6. 2017The placement of the head that maximizes predictability. An information theoretic approachcited by 9
  7. 2015Human languages order information efficientlycited by 6
  8. 2018Sentences with Gapping: Parsing and Reconstructing Elided Predicatescited by 4

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Citing papers per year: 2023: 2; 2024: 2; 2025: 3; 2026: 3.

10 papers.