Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality
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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.
Builds on
8 of 187 references.
References · 8
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Citing papers per year: 2023: 2; 2024: 2; 2025: 3; 2026: 3.
10 papers.
- 2023A Cross-Linguistic Pressure for Uniform Information Density in Word Ordercited by 16
- 2025Strategic resource allocation in memory encoding: An efficiency principle shaping language processingcited by 2
- 2025The taggedPBC: Annotating a massive parallel corpus for crosslinguistic investigationscited by 2
- 2025Word length predicts word order: "Min-max"-ing drives language evolutioncited by 2
- 2023Multiple evolutionary pressures shape identical consonant avoidance in the world's languagescited by 1
- 2024Word Order and World Knowledgecited by 1
- 2024Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technologycited by 0
- 2026Vocabulary shapes cross-lingual variation of word-order learnability in language modelscited by 0
- 2026ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levelscited by 0
- 2026Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulationscited by 0
- 2026Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulations5 Sep 2026
- 2026ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels4 Aug 2026
- 2026Vocabulary shapes cross-lingual variation of word-order learnability in language models19 Mar 2026
- 2025Word length predicts word order: "Min-max"-ing drives language evolution20 May 2025
- 2025The taggedPBC: Annotating a massive parallel corpus for crosslinguistic investigations18 May 2025
- 2025Strategic resource allocation in memory encoding: An efficiency principle shaping language processing18 Mar 2025
- 2024Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology20 Nov 2024
- 2024Word Order and World Knowledge1 Mar 2024
- 2023Multiple evolutionary pressures shape identical consonant avoidance in the world's languages25 Sep 2023
- 2023A Cross-Linguistic Pressure for Uniform Information Density in Word Order6 Jun 2023