Predicting cross-linguistic adjective order with information gain
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Abstract (arXiv)
Languages vary in their placement of multiple adjectives before, after, or surrounding the noun, but they typically exhibit strong intra-language tendencies on the relative order of those adjectives (e.g., the preference for `big blue box' in English, `grande boite bleue' in French, and `alsund=uq al'azraq alkab=ir' in Arabic). We advance a new quantitative account of adjective order across typologically-distinct languages based on maximizing information gain. Our model addresses the left-right asymmetry of French-type ANA sequences with the same approach as AAN and NAA orderings, without appeal to other mechanisms. We find that, across 32 languages, the preferred order of adjectives largely mirrors an efficient algorithm of maximizing information gain.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Dec 2020.
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Citing papers per year: 2024: 1; 2025: 2.
3 papers.
- 2025Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accentcited by 3
- 2024Black Big Boxes: Tracing Adjective Order Preferences in Large Language Modelscited by 0
- 2025A Computational Approach to Analyzing Language Change and Variation in the Constructed Language Toki Ponacited by 0
- 2025A Computational Approach to Analyzing Language Change and Variation in the Constructed Language Toki Pona14 Aug 2025
- 2025Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent12 May 2025
- 2024Black Big Boxes: Tracing Adjective Order Preferences in Large Language Models2 Jul 2024