Experience-based probabilities modulate expectations in a gender-coded artificial language
The current study combines artificial language learning with visual world eyetracking to investigate acquisition of representations associating spoken words and visual referents using morphologically complex pseudowords.Pseudowords were constructed to consistently encode Zesters referential gender by means of suffixation for a set of imaginary figu