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The present study examines the online realization of pragmatic meaning using event-related potentials (ERPs). Participants read sentences including the English quantifier some, which has both a semantic meaning (at least one) and a pragmatic meaning (not all). Unlike previous ERP studies of this phenomenon, sentences in the current study were evaluated not in terms of their truth with respect to the real world, but in terms of their consistency with a picture presented before the sentence. Sentences (such as "The boy cut some of the steaks in this story") were constructed such that either (1) both the semantic and pragmatic interpretations were true with respect to the preceding picture (when the boy in fact cut some but not all of the steaks); (2) neither interpretation was true (when the boy in fact cut none of the steaks); or (3) the semantic interpretation was true but the pragmatic interpretation false (when the boy in fact cut all of the steaks). ERPs at the object word, which determined whether the sentence was consistent with the story, showed the largest N400 effect for objects that made the sentence false, whereas they showed an intermediate effect for objects that made the sentence false under the pragmatic interpretation but true under the semantic interpretation. The results suggest that this pragmatic aspect of meaning is computed online and integrated into the sentence model rapidly enough to influence comprehension of later words., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

The present study examines the brain-level representation and composition of meaning in scalar quantifiers (e.g., some), which have both a semantic meaning (at least one) and a pragmatic meaning (not all). We adopted a picture-sentence verification design to examine event-related potential (ERP) effects of reading infelicitous quantifiers for which the semantic meaning was correct with respect to the context but the pragmatic meaning was not, compared to quantifiers for which the semantic meaning was inconsistent with the context and no additional pragmatic meaning is available. In the first experiment, only pragmatically inconsistent quantifiers, not semantically inconsistent quantifiers, elicited a sustained posterior negative component. This late negativity contrasts with the N400 effect typically elicited by nouns that are incongruent with their context, suggesting that the recognition of scalar implicature errors elicits a qualitatively different ERP signature than the recognition of lexico-semantic errors. We hypothesize that the sustained negativity reflects cancellation of the pragmatic inference and retrieval of the semantic meaning. In our second experiment, we found that the process of re-interpreting the quantifier was independent from lexico-semantic processing: the N400 elicited by lexico-semantic violations was not modulated by the presence of a pragmatic inconsistency. These findings suggest that inferential pragmatic aspects of meaning are processed using different mechanisms than lexical or combinatorial semantic aspects of meaning, that inferential pragmatic meaning can be realized rapidly, and that the computation of meaning involves continuous negotiation between different aspects of meaning., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Composing sentence meaning is easier for predictable words than for unpredictable words. Are predictable words genuinely predicted, or simply more plausible and therefore easier to integrate with sentence context? We addressed this persistent and fundamental question using data from a recent, large-scale (n = 334) replication study, by investigating the effects of word predictability and sentence plausibility on the N400, the brain's electrophysiological index of semantic processing. A spatio-temporally fine-grained mixed-effect multiple regression analysis revealed overlapping effects of predictability and plausibility on the N400, albeit with distinct spatio-temporal profiles. Our results challenge the view that the predictability-dependent N400 reflects the effects of either prediction or integration, and suggest that semantic facilitation of predictable words arises from a cascade of processes that activate and integrate word meaning with context into a sentence-level meaning. This article is part of the theme issue 'Towards mechanistic models of meaning composition'. [ABSTRACT FROM AUTHOR]

Scalar inference is the phenomenon whereby the use of a less informative term (e.g., some of) is inferred to mean the negation of a more informative term (e.g., to mean not all of). Default processing accounts assume that the interpretation of some of as meaning not all of is realized easily and automatically (regardless of context), whereas context-driven processing accounts assume that it is realized effortfully and only in certain contexts. In the present study, participants’ self-paced reading times were recorded as they read vignettes in which the context did or did not bias the participants to make a scalar inference (to interpret some of as meaning not all of). The reading times suggested that the realization of the inference was influenced by the context, but did not provide evidence for processing cost at the time the inference is realized, contrary to the predictions of context-driven processing accounts. The results raise the question of why inferencing occurs only in certain contexts if it does not involve extra processing effort. [ABSTRACT FROM AUTHOR]