mlsanityData to 14 Oct 2026

A Cross-Linguistic Pressure for Uniform Information Density in Word Order

arXiv 2306.03734 ↗First posted 6 Jun 2023cs.CLcited by 17

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Abstract (arXiv)

While natural languages differ widely in both canonical word order and word order flexibility, their word orders still follow shared cross-linguistic statistical patterns, often attributed to functional pressures. In the effort to identify these pressures, prior work has compared real and counterfactual word orders. Yet one functional pressure has been overlooked in such investigations: the uniform information density (UID) hypothesis, which holds that information should be spread evenly throughout an utterance. Here, we ask whether a pressure for UID may have influenced word order patterns cross-linguistically. To this end, we use computational models to test whether real orders lead to greater information uniformity than counterfactual orders. In our empirical study of 10 typologically diverse languages, we find that: (i) among SVO languages, real word orders consistently have greater uniformity than reverse word orders, and (ii) only linguistically implausible counterfactual orders consistently exceed the uniformity of real orders. These findings are compatible with a pressure for information uniformity in the development and usage of natural languages.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 17 of its 80 references that are in the map. First posted on arXiv 6 Jun 2023.

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17 of 80 references.

References · 17

  1. 2017Attention Is All You Needcited by 60,361
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  4. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,918
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  6. 2021Revisiting the Uniform Information Density Hypothesiscited by 68
  7. 2021Examining the Inductive Bias of Neural Language Models with Artificial Languagescited by 40
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  12. 2021How (Non-)Optimal is the Lexicon?cited by 11
5 more
  1. 2022Crosslinguistic word order variation reflects evolutionary pressures of dependency and information localitycited by 10
  2. 2021Disambiguatory Signals are Stronger in Word-initial Positionscited by 9
  3. 2017Are crossing dependencies really scarce?cited by 7
  4. 2015Human languages order information efficientlycited by 6
  5. 2022Grammatical cues to subjecthood are redundant in a majority of simple clauses across languagescited by 5

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Citing papers per year: 2024: 5; 2025: 5; 2026: 7.

17 papers.

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  1. 2025Can Language Models Learn Typologically Implausible Languages?cited by 23
  2. 2025Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMscited by 20
  3. 2024Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discoursecited by 17
  4. 2025UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactionscited by 3
  5. 2025Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossiblecited by 3
  6. 2026Is Information Density Uniform when Utterances are Grounded on Perception and Discourse?cited by 3
  7. 2024Reverse-Engineering the Readercited by 2
  8. 2025Strategic resource allocation in memory encoding: An efficiency principle shaping language processingcited by 2
  9. 2024Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordinationcited by 1
  10. 2026The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Modelscited by 1
  11. 2024That's Optional: A Contemporary Exploration of "that" Omission in English Subordinate Clausescited by 0
  12. 2024CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languagescited by 0
5 more
  1. 2026Vocabulary shapes cross-lingual variation of word-order learnability in language modelscited by 0
  2. 2026Expect the Unexpected? Testing the Surprisal of Salient Entitiescited by 0
  3. 2026Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Modelscited by 0
  4. 2026Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulationscited by 0
  5. 2026An Interpretable Linguistically-Grounded Analysis of Scene Saliency in Movie Screenplayscited by 0