Language models explain word reading times better than empirical predictability

MJ Hofmann, S Remus, C Biemann… - Frontiers in Artificial …, 2022 - frontiersin.org
Though there is a strong consensus that word length and frequency are the most important
single-word features determining visual-orthographic access to the mental lexicon, there is …

Simple co‐occurrence statistics reproducibly predict association ratings

MJ Hofmann, C Biemann, C Westbury… - Cognitive …, 2018 - Wiley Online Library
What determines human ratings of association? We planned this paper as a test for
association strength (AS) that is derived from the log likelihood that two words co‐occur …

Emotional valence, cloze probability, and entropy: Completion norms for 403 French sentences

J Brunel, E Dujardin, S Delord, S Mathey - Behavior Research Methods, 2025 - Springer
Sentence-final completion norms are a useful way to select materials in the study of
psycholinguistics, neurosciences, and language processing. In recent decades, the …

Benchmarking n-grams, topic models and recurrent neural networks by cloze completions, EEGs and eye movements

MJ Hofmann, C Biemann, S Remus - Cognitive approach to natural …, 2017 - Elsevier
In neurocognitive psychology, manually collected cloze completion probabilities (CCPs) are
the standard approach to quantifying a word's predictability from sentence context. Here, we …

Influence de la suggestion hypnotique sur les processus émotionnels: étude expérimentale du biais attentionnel et des processus d'activation et d'inhibition lexico …

J Brunel - 2023 - theses.hal.science
L'utilisation de la suggestion hypnotique présente un intérêt considérable pour l'étude des
processus cognitifs et de leurs modulations. Depuis plusieurs décennies, un nombre …

A Framework for Decoding Event-Related Potentials from Text

S Yan, AS White - arxiv preprint arxiv:1902.10296, 2019 - arxiv.org
We propose a novel framework for modeling event-related potentials (ERPs) collected
during reading that couples pre-trained convolutional decoders with a language model …

[CITARE][C] Neurokognitive Dynamik semantischer Gedächtnisprozesse in algorithmischen Modellen

MJ Hofmann - 2021 - … , Wuppertal, Bergische Universität …