This study investigated the effects of construction types on Korean-L1 English-L2 learners’ verb–construction integration in online processing by presenting the ditransitive and prepositional dative constructions and manipulating the verb’s association strength within these constructions. Results of a self-paced reading experiment showed that the L2 group spent longer times in the verb–construction integration in the postverbal complement region when processing the ditransitive construction, which is less canonical and highly avoided in the learners’ L1, than when processing the prepositional dative construction, which is more canonical and shares similar structural features with the L1 counterpart. In the following spillover region, L2 learners showed faster reading times as proficiency increased when the verb was strongly associated with the prepositional dative construction. Our findings expand the scope of current models on L2 sentence processing by suggesting that construction types and L2 proficiency may affect the L2 integration of verbal and constructional information.
This study explores how word frequency affects verb‐mediated prediction in L1 and L2 speakers, using a visual‐world eye‐tracking task. By manipulating frequency of nouns within subjects (higher; lower) and type of verbs used as predictive cues (semantically restrictive; neutral) in sentences (e.g., The {doctor/surgeon} {opened/moved} the box ), we investigated the impact of frequency of early‐processed words on prediction, hypothesizing that higher‐frequency words might free up cognitive resources, thus facilitating lexical retrieval, integration with a subsequent predictive cue, and ultimately prediction. Results showed that both L1 and L2 speakers predicted the target object upon hearing restrictive verbs. However, the L2 group showed such a predictive behavior only when the sentences contained higher‐frequency subjects, whereas the L1 group did so in both conditions but faster with higher‐frequency subjects. These results suggest L2 learners’ sound ability to generate predictions, and underscore the importance of word frequency in facilitating both L1 and L2 prediction.