Generating predictions based on semantic categories in a second language: A case of numeral classifiers in Japanese

要旨

Abstract This study examined whether native Japanese speakers and second language (L2) speakers of Japanese use information from numeral classifiers to predict possible referents. Using a visual-world eye-tracking paradigm, we asked participants to identify picture objects that take either the same or different numeral classifiers while they listened to Japanese sentences referring to one object. The results showed that native speakers looked to the target predictively more often when the classifier was informative about noun identity than when it was not. L2 learners also showed a facilitative effect of classifiers that was comparable to that of native speakers. In addition, we found that the level of proficiency played a role in the speed of real-time referent resolutions when the participants heard the target nouns in audio input. However, such an effect was not observed during the period when the predictions were generated.

主題