Simultaneous interpreting experience enhances semantic prediction in Turkish

This study investigates prediction based on verb semantics in a Turkish monolingual comprehension task in professional and student Turkish (A)–English (B) interpreters. Predictive eye movements were compared between the two groups to examine potential differences in the size of the semantic prediction effect. In addition, the participants’ working memory capacity was measured to see whether working memory facilitates prediction and whether this facilitatory effect differs between the two groups. We found a stronger semantic prediction effect in professional than student interpreters. Moreover, student interpreters with higher working memory capacity showed a stronger semantic prediction effect than students with lower working memory capacity. No such difference was observed for professionals. Our findings suggest that professional interpreters do not need to use additional resources to predict meaning, unlike students. Together with previous findings, we observe an interpreting experience related advantage for prediction in non-interpreting tasks irrespective of type of predictive cue under investigation.

Publication history
Table of contents

Prediction is claimed to be an integral part of language comprehension. It has been investigated extensively as pre-activation of information on different levels of language processing with the help of eye-tracking measurement techniques recording fixations on referents in the visual world paradigm (VWP) (Cooper 1974; Tanenhaus et al. 1995). There is now evidence of pre-activation of information on the phonetic, morpho-syntactic, semantic, and discourse levels (Kamide, Altmann, and Haywood 2003; Kamide, Scheepers, and Altmann 2003; Brown et al. 2011; Borovsky, Elman, and Fernald 2012). There is also more recent evidence of individual differences in prediction, related to language experience (Hintz, Meyer, and Huettig 2017) and domain-general cognitive skills, such as working memory capacity (WMC) (Huettig and Janse 2016; Ito, Pickering, and Corley 2018), suggesting that prediction can be trained (which has been found during reading; see Huettig and Pickering 2019).

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