Abstract

We investigated the effects of everyday language exposure on the prediction of orthographic and phonological forms of a highly predictable word during listening comprehension. Native Japanese speakers in Tokyo (Experiment 1) and Berlin (Experiment 2) listened to sentences that contained a predictable word and viewed four objects. The critical object represented the target word (e.g., /sakana/; fish), an orthographic competitor (e.g., /tuno/; horn), a phonological competitor (e.g., /sakura/; cherry blossom), or an unrelated word (e.g., /hon/; book). The three other objects were distractors. The Tokyo group fixated the target and the orthographic competitor over the unrelated objects before the target word was mentioned, suggesting that they pre-activated the orthographic form of the target word. The Berlin group showed a weaker bias toward the target than the Tokyo group, and they showed a tendency to fixate the orthographic competitor only when the orthographic similarity was very high. Thus, prediction effects were weaker in the Berlin group than in the Tokyo group. We found no evidence for the prediction of phonological information. The obtained group differences support probabilistic models of prediction, which regard the built-up language experience as a basis of prediction.

Highlights

  • During language comprehension, people sometimes predict a word that is likely to come up and pre-activate representations of the predictable word before it is mentioned (Kamide, 2008; Kuperberg and Jaeger, 2016; Pickering and Gambi, 2018 for reviews)

  • Experiment 1 found that participants were more likely to fixate the target object over the unrelated object before the target word was mentioned, suggesting that participants predicted some information about the target word

  • They were more likely to fixate the orthographic competitor over the unrelated object, suggesting that participants predicted the orthographic form of the target word

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Summary

Introduction

People sometimes predict a word that is likely to come up and pre-activate representations of the predictable word before it is mentioned (Kamide, 2008; Kuperberg and Jaeger, 2016; Pickering and Gambi, 2018 for reviews). It is unclear how everyday exposure to the language affects prediction among native speakers. Under the probabilistic models of language prediction (e.g., Kuperberg and Jaeger, 2016), predictions are generated on the basis of statistical probabilities (i.e., the likelihood of a certain input to occur in the given context). Prediction may be stronger in those who are exposed to the language more often than those who are exposed to it less often

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