Reading is an outstanding achievement of the human brain. The ability to read has substantially formed our history and culture and plays an essential role in our everyday lives. Skilled readers can hardly prevent processing a written stimulus and, most often, they grasp a word’s meaning within a fraction of a second. The understanding of the underlying mechanisms as well as the time course of t...

We investigated the behavioral and brain responses (ERPs) of bilingual word recognition to three fundamental psycholinguistic factors, frequency, morphology, and lexicality, in early bilinguals vs. monolinguals. Earlier behavioral studies have reported larger frequency effects in bilinguals' nondominant vs. dominant language and in some studies also when compared to corresponding monolinguals. ...

I argue that cue integration, a psychophysiological mechanism from vision and multisensory perception, offers a computational linking hypothesis between psycholinguistic theory and neurobiological models of language. I propose that this mechanism, which incorporates probabilistic estimates of a cue's reliability, might function in language processing from the perception of a phoneme to the comp...

Statistical analyses in psycholinguistics are often done by two separate ANOVAs for repeated measures, over subjects and over items. Multi-level modeling (MLM), by contrast, combines all random factors, subjects and items and any others, into a single full analysis. This property alone makes multi-level modeling superior over conventional single-level ANOVA techniques. This paper explains the b...

This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for an appraisal both of speciic connectionist models and of the status and utility of connectionist models of language in general. This introduction provides the background for the papers in the Special Issue. The development of connectionist models of language is traced, from their intellectual ori...

Recent research in psycholinguistics suggests that language processing frequently involves mental imagery. This paper focuses on visual imagery and discusses two issues regarding the of polysemous words (i.e.words with multiple related meanings or senses) — co-predication sense-relatedness. It aims to show how can illuminate these issues.