Commentary: Rational Adaptation in Lexical Prediction: The Influence of Prediction Strength

Prediction during language comprehension: what is next?

Prediction is often regarded as an integral aspect of incremental language comprehension, but little is known about the cognitive architectures and mechanisms that support it. We review studies showing that listeners and readers use all manner of contextual information to generate multifaceted predictions about upcoming input. The nature of these predictions may vary between individuals owing to differences in language experience, among other factors. We then turn to unresolved questions which may guide the search for the underlying mechanisms. (i) Is prediction essential to language processing or an optional strategy? (ii) Are predictions generated from within the language system or by domain-general processes? (iii) What is the relationship between prediction and memory? (iv) Does prediction in comprehension require simulation via the production system? We discuss promising directions for making progress in answering these questions and for developing a mechanistic understanding of prediction in language.

Strategic Processing of Gender Stereotypes in Sentence Comprehension: An ERP Study

Gender stereotypes are often involved in language comprehension. This study investigated whether and to what extent their processing is under strategic control, by examining both proportion and order effects related to gender stereotypes for role nouns. We manipulated stereotypical gender consistencies, as in “Li’s daughter/son was a nurse…”, the relative proportions of gender-consistent and gender-inconsistent sentences (80%:20% and 50%:50% for high-proportion and equal-proportion sessions, respectively), and a between-participant factor of session order (high-proportion sessions preceding equal-proportion sessions and a reversed order for the high–equal and equal–high groups, respectively). Linear mixed-effect models revealed a larger N400 and a larger late negativity for stereotypically inconsistent compared to consistent sentences for the high–equal group only. These results indicate that even if sentence contexts have already determined the gender of target role characters, gender stereotypes for role nouns are still activated when the first half of the experiment facilitates their activation. The analyses of trial-by-trial dynamics showed that the N400 effects gradually decreased throughout equal-proportion sessions for the equal–high group. Our findings suggest that the processing of gender stereotypes can be under strategic control. In addition, readers may develop other strategies based on sentence contexts, when the processing strategy based on cue validity is not available.

Verb-Mediated Prediction in Bilingual Toddlers

Prediction is an important mechanism for efficient language processing. It has been shown that as a part of sentence processing, both children and adults predict nouns based on semantically constraining verbs. Language proficiency is said to modulate prediction: the higher proficiency, the better the predictive skill. Children growing up acquiring two languages are often more proficient in one of them, and as such, investigation of the predictive ability in young bilingual children can shed light on the role of language proficiency. Furthermore, according to production-based models, the language production system drives the predictive ability. The present study investigates whether bilingual toddlers predict upcoming nouns based on verb meanings in both their languages, and whether this ability is associated with expressive vocabulary. Seventeen Norwegian-English bilingual toddlers (aged 2;5-3;3), dominant in Norwegian, participated in the study. Verb-mediated predictive ability was measured via a visual world paradigm (VWP) experiment, including sentences with semantically constraining and neutral verbs. Expressive vocabulary was measured by MacArthur-Bates CDI II. The results suggested that the toddler group predicted upcoming noun arguments in both their dominant and non-dominant languages, but were faster in their dominant language. This finding highlights the importance of language dominance for predictive processing. There was no significant relationship between predictive ability and expressive vocabulary in either language.