Recent decades have ushered in tremendous progress in understanding the neural basis of
language. Most of our current knowledge on language and the brain, however, is derived …

Some of the earliest work on understanding how concepts are organized in memory used a
network‐based approach, where words or concepts are represented as nodes, and …

Abstract Machines have achieved a broad and growing set of linguistic competencies,
thanks to recent progress in Natural Language Processing (NLP). Psychologists have …

In the present study, we leveraged computational methods to explore the extent to which,
relative to direct access to semantics from orthographic cues, the additional appreciation of …

The morphological structure of complex words impacts how they are processed during
visual word recognition. This impact varies over the course of reading acquisition and for …

L'objectif classique de la modélisation cognitive est l'intégration du processus et de la
représentation pour développer des théories complètes de la cognition humaine (Estes …

Abstract Effects of semantic transparency, reflected in processing differences between
semantically transparent (teabag) and opaque (ladybird) compounds, have received …

Most printed Chinese words are compounds built from the combination of meaningful
characters. Yet, there is a poor understanding of how individual characters contribute to the …

Finnish nouns are characterized by rich inflectional variation, with obligatory marking of case
and number, with optional possessive suffixes and with the possibility of further cliticization …

ABSTRACT A key question in the study of lexical processing has been whether the semantic
transparency of multimorphemic words affects processing. Previous studies of English and …