Language prediction in monolingual and bilingual speakers: an EEG study

Sci Rep. 2024 Mar 21;14(1):6818. doi: 10.1038/s41598-024-57426-y.

Abstract

Prediction of upcoming words is thought to be crucial for language comprehension. Here, we are asking whether bilingualism entails changes to the electrophysiological substrates of prediction. Prior findings leave it open whether monolingual and bilingual speakers predict upcoming words to the same extent and in the same manner. We address this issue with a naturalistic approach, employing an information-theoretic metric, surprisal, to predict and contrast the N400 brain potential in monolingual and bilingual speakers. We recruited 18 Iranian Azeri-Persian bilingual speakers and 22 Persian monolingual speakers. Subjects listened to a story in Persian while their electroencephalogram (EEG) was recorded. Bayesian item-level analysis was used. While in monolingual speakers N400 was sensitive to information-theoretic properties of both the current and previous words, in bilingual speakers N400 reflected the properties of the previous word only. Our findings show evidence for a processing delay in bilingual speakers which is consistent with prior research.

MeSH terms

  • Bayes Theorem
  • Electroencephalography*
  • Evoked Potentials
  • Female
  • Humans
  • Iran
  • Language
  • Male
  • Multilingualism*