Computational Psycholinguistics

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7 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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Latest papers 58

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Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning
Jun 2, 2026Maggie Mi, Golzar Atefi, Atsuki Yamaguchi +3Computational Psycholinguistics
University of Sheffield · Berliner Hochschule für Technik (BHT) · University of Exeter +1
Eyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Reading
Jun 1, 2026Shuwen Deng, Cui Ding, David R. Reich +2Eye Tracking Computational Psycholinguistics
Department of Computer Science, University of Potsdam, Germany. · Department of Computational Linguistics, University of Zurich, Switzerland. · Department of Informatics, University of Zurich, Switzerland.
Supervised Semantic Differential for Cross-Cultural Concept Analysis: A Case Study of Human Affect
May 27, 2026Jan Sikora, Paweł Lenartowicz, Hubert PlisieckiCross-Lingual Representation Alignment Computational Psycholinguistics
University of Warsaw · Society for Open Science Centre for Brain Research, Jagiellonian University · IDEAS Research Institute
Chinese sensorimotor and embodiment norms for 3,000 lexicalized concepts
May 21, 2026Jing Chen, Gábor Parti, Yin Zhong +2Distributional Semantics Computational Psycholinguistics
Department of Psychology, University of Milano-Bicocca · Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University · Center for Language Education, The Hong Kong University of Science and Technology
In Silico Modeling of the RAMPHO Buffer: Dissociating Informational and Energetic Masking via Phonetic Entropy in Deep Neural Networks
May 21, 2026Stefan BleeckSpeech Processing Computational Psycholinguistics
Institute of Sound and Vibration Research (ISVR), University of Southampton
Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks
May 19, 2026Claire Hobbs, R. Thomas McCoyChild Language Acquisition Computational Psycholinguistics
Cognitive Science Program Yale University · Dept. of Linguistics & Wu Tsai Institute Yale University
Readers make targeted regressions to plausible errors in reanalysis of "noisy-channel garden-path" sentences
May 18, 2026Thomas Hikaru Clark, Roger Levy, Edward GibsonLanguage Modeling Computational Psycholinguistics
MIT Brain and Cognitive Sciences 43 Vassar Street, Cambridge MA, USA
A Scalable Tool for Measuring Manner and Result Verbs in Developmental Language Research
May 15, 2026Divyesh Pratap Singh, Dakshesh Gusain, Federica Bulgarelli +4Text Classification Computational Psycholinguistics
University at Buffalo · Nanyang Technological University · The University of Texas at Austin
Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis
May 14, 2026William Timkey, Brian Dillon, Tal LinzenLanguage Modeling Computational Psycholinguistics
Department of Linguistics, New York University, 10 Washington Pl, New York, NY 10003, USA · Department of Linguistics, University of Massachusetts Amherst, 650 N Pleasant St, Amherst, MA 01002, USA · Center for Data Science, New York University, 60 5th Ave, New York, NY 10011, USA
Greedy or not, here I come: Language production under vocabulary constraints in humans and resource-rational models
May 14, 2026Thomas Hikaru Clark, Sihan Chen, Laura NicolaeCognitive Modeling Computational Psycholinguistics
Department of Brain and Cognitive Sciences, MIT · Department of Economics, Harvard University
Is Child-Directed Language Optimized for Word Learning? A Computational Study of Verb Meaning Acquisition
May 12, 2026Francesca Padovani, Jaap Jumelet, Yevgen Matusevych +1Child Language Acquisition Computational Psycholinguistics
Center for Language and Cognition (CLCG), University of Groningen
A Computational Operationalisation of Competing Maturational Theories of Syntactic Development via Statistical Grammar Induction
May 8, 2026Mila Marcheva, Suchir Salhan, Weiwei SunChild Language Acquisition Computational Psycholinguistics
Department of Computer Science & Technology, University of Cambridge
The Frequency Confound in Language-Model Surprisal and Metaphor Novelty
May 7, 2026Omar Momen, Sina ZarrießLanguage Modeling Computational Psycholinguistics
CRC 1646 – Linguistic Creativity in Communication · Bielefeld University, Germany
Assessing Cognitive Effort in L2 Idiomatic Processing: An Eye-Tracking Dataset
May 6, 2026Eduardo Santos, Juliana Carvalho, César Rennó-CostaEye Tracking Computational Psycholinguistics
Federal University of Rio Grande do Norte (UFRN), Brazil
Rational Communication Shapes Morphological Composition
May 5, 2026Fengyuan Yang, Yongqian Peng, Yuxi Ma +2Computational Psycholinguistics
Institute for Artificial Intelligence, Peking University · School of Psychological and Cognitive Sciences, Peking University · Yuanpei College, Peking University +2
The grip of grammar on meaning uncertainty: cross-linguistic evidence, neural correlates, and clinical relevance
May 2, 2026Rui He, Claudio Palominos, Samuele Vallisa +16Computational Psycholinguistics
Grammar and Cognition Lab, Department of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain. · School of Foreign Studies, Guangzhou University, Guangzhou, China. · Department of Neurology Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau Biomedical Research Institute Sant Pau, Barcelona, Spain. +18
Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue
May 1, 2026Tom Utting, Mario Giulianelli, Arabella SinclairComputational Psycholinguistics
University of Aberdeen · University College London
On the Proper Treatment of Units in Surprisal Theory
Apr 30, 2026Samuel Kiegeland, Vésteinn Snæbjarnarson, Tim Vieira +1Computational Psycholinguistics
ETH Zürich · CHI-FRO · University of Copenhagen
Syntactically-guided Information Maintenance in Sentence Comprehension
Apr 30, 2026Shinnosuke Isono, Kohei KajikawaComputational Psycholinguistics
NINJAL · Georgetown University
Modeling Human-Like Color Naming Behavior in Context
Apr 28, 2026Yuqing Zhang, Ecesu Ürker, Tessa Verhoef +2Computational Psycholinguistics Emergent Communication
Center for Language and Cognition, University of Groningen · Department of Translation and Language Sciences, Universitat Pompeu Fabra · Leiden Institute of Advanced Computer Science, Leiden University +1
Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models
Apr 24, 2026Ryoma Kumon, Hitomi YanakaMechanistic Interpretability Language Modeling
1The University of Tokyo · 2RIKEN · 3Tohoku University
The "Small World of Words" German Free-Association Norms
Apr 21, 2026Samuel Aeschbach, Rui Mata, Kaidi Lõo +2Computational Psycholinguistics
Center for Cognitive and Decision Sciences, Faculty of Psychology, University of Basel, Switzerland · Institute of Estonian and General Linguistics, University of Tartu, Estonia · Melbourne School of Psychological Sciences, University of Melbourne, Australia +1
Probing for Reading Times
Apr 20, 2026Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re +4Computational Psycholinguistics Language Model Probing
ETH Zürich · Toyota Technological Institute at Chicago · University College London
Dual Alignment Between Language Model Layers and Human Sentence Processing
Apr 20, 2026Tatsuki Kuribayashi, Alex Warstadt, Yohei Oseki +1Language Modeling Computational Psycholinguistics
MBZUAI · Tohoku University · UC San Diego +2
An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal
Apr 20, 2026Ryo Yoshida, Shinnosuke Isono, Taiga Someya +2Computational Psycholinguistics
♠The University of Tokyo · ♡NINJAL · ♢NII LLMC +1
LLM surprisal is necessary but not sufficient to capture English garden-path effects: Evidence from joint latent modeling of reading paradigms
Feb 4, 2026Dario Paape, Tal Linzen, Shravan VasishthLatent Variable Models Cognitive Modeling
Department of Linguistics, University of Potsdam · Department Linguistik, Universität Potsdam, Karl-Liebknecht-Straße 24–25, D-14476, Germany. · Center for Data Science/Department of Linguistics, New York University
Graded strength of comparative illusions is explained by Bayesian inference
Nov 18, 2025Yuhan Zhang, Erxiao Wang, Cory ShainBayesian Inference Computational Psycholinguistics
Margaret Jacks1DepartmentHall, Buildingof Linguistics,460 Rm.Stanford127, Stanford,UniversityCA ,94305-2150
When Context Misleads: Surprisal, Energy and Attention Entropy as Metrics of Coherence Illusions in LLMs
Date pendingEce Takmaz, Nitin Kumar, Li Kloostra +1LLM Interpretability Computational Psycholinguistics
Utrecht University

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Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning

Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, Felix Gers+2

University of Sheffield · Berliner Hochschule für Technik (BHT) · University of Exeter+1

Computational Psycholinguistics

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Idioms can be analysed in terms of their decomposability, the extent to which constituent meanings contribute to the figurative whole. Decomposability is thought to predict syntactic flexibility. Usage-based accounts instead attribute idiom behaviour to distributional experience, such as speaker familiarity and predictability. We examine these views using contextualised language models as controlled distributional learners. We propose a model-internal measure of decomposability and relate it to human ratings, syntactic flexibility, and predictability while tracking idiom learning during pretraining. Model-derived decomposability correlates weakly with human judgments and shows a small but consistent negative relationship with syntactic flexibility. Pretraining analyses show that stabilisation of idiom representations in models is not explained by frequency alone. Instead, surprisal, decomposability, and frequency all contribute, with decomposability showing the strongest training-dependent effect.

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