Language models explain word reading times better than empirical predictability
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 …
single-word features determining visual-orthographic access to the mental lexicon, there is …
Simple co‐occurrence statistics reproducibly predict association ratings
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 …
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 …
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
In neurocognitive psychology, manually collected cloze completion probabilities (CCPs) are
the standard approach to quantifying a word's predictability from sentence context. Here, we …
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 …
processus cognitifs et de leurs modulations. Depuis plusieurs décennies, un nombre …
A Framework for Decoding Event-Related Potentials from Text
We propose a novel framework for modeling event-related potentials (ERPs) collected
during reading that couples pre-trained convolutional decoders with a language model …
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 …