During the last years there has been an increasing interest in examining the brain responses to word order variations. In one ERP study conducted in Spanish, Casado, Martin-Loeches, Munoz, and Fernandez-Frias (2005) had participants read Spanish transitive sentences with either an SVO (subject-verb-object) or an OVS order. The word order of a…

Humans have knowledge about the properties of their native language at various levels of representation; sound, structure, and meaning computation constitute the core components of any linguistic theory. Although the brain sciences have engaged with representational theories of sound and syntactic structure, the study of the neural bases of…

This experiment examined event-related responses to targets preceded by semantically transparent morphologically related primes (e.g., farmer-farm), semantically opaque primes with an apparent morphological relation (corner-corn), and orthographically, but not morphologically, related primes (scandal-scan) using the masked priming technique…

The ambiguity disadvantage (slower processing of ambiguous words relative to unambiguous words) has been taken as evidence for a distributed semantic representational system like that embodied in parallel distributed processing (PDP) models. In the present study, we investigated whether semantic ambiguity slows meaning activation, as PDP models…

The role of morphological, semantic, and form-based factors in the early stages of visual word recognition was investigated across different SOAs in a masked priming paradigm, focusing on English derivational morphology. In a first set of experiments, stimulus pairs co-varying in morphological decomposability and in semantic and orthographic…

This study investigated whether the semantic similarity and grammatical class of distracter words affects the naming of pictured actions (verbs) in Japanese. Three experiments used the picture-word interference paradigm with participants naming picturable actions while ignoring distracters. In all three experiments, we manipulated the semantic…

Many models of word recognition predict that neighbours of target words will be activated during word processing. Cascaded models can make the additional prediction that semantic features of those neighbours get activated before the target has been uniquely identified. In two semantic decision tasks neighbours that were congruent (i.e., from the…