Back to Main Conference 2026
LREC 2026main

Modeling the Memory-Surprisal Trade-Off over Time: Communicative Efficiency Decreases with Lexico-Grammatical Change in Scientific English

Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)

DOI:10.63317/4txotk7fwkhp

Abstract

The memory-surprisal trade-off (MST) has been shown to hold cross-linguistically as a general principle of communicative efficiency: languages that exhibit information locality tend to have word orders that allow for efficient memory use, i.e., lower surprisal at a fixed memory budget. In this paper, we explore the influence of diachronic variation on the MST. We compare scientific English in the Royal Society Corpus (RSC, 18thc. – 20thc.) to "general language" in the Corpus of Historical American English (COHA) to assess the impact of intra-linguistic variation (register). We find that both time and register influence the shape of the tradeoff: Over time, vocabulary expansion raises minimal surprisal, while the shape of the MST curves changes. Decreasing distances between syntactic dependencies due to more local nominal encodings change how predictive information is distributed across memory scales. The effects are stronger for the RSC than for COHA.

Details

Paper ID
lrec2026-main-884
Pages
pp. 11309-11319
BibKey
steuer-etal-2026-modeling
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
978-2-493814-49-4
Conference
The Fifteenth Language Resources and Evaluation Conference (LREC 2026)
Location
Palma, Mallorca, Spain
Date
11 May 2026 16 May 2026

Authors

  • JS

    Julius Steuer

  • MK

    Marie-Pauline Krielke

  • SD

    Stefania Degaetano-Ortlieb

  • ET

    Elke Teich

  • DK

    Dietrich Klakow

Links