In infancy, maternal socioeconomic status is associated with real-time language processing skills, but whether or not this relationship carries into adulthood is unknown. We explored the effects of maternal SES in college-aged adults on eye-tracked, spoken sentence comprehension tasks using the visual world paradigm. When sentences ended in highly plausible, expected target nouns, higher SES was associated with a greater likelihood of considering alternative endings related to the action of the sentence. Moreover, for unexpected sentence endings, individuals from higher SES (...) backgrounds were sensitive to whether the ending was action-related or unrelated, showing a benefit for plausible endings. Individuals from lower SES backgrounds did not show this advantage. This suggests maternal SES can influence the dynamics of sentence processing even in adulthood, with consequences for processing unexpected content. These findings highlight the importance of early lexical experience for adult language skills. (shrink)

Three online mouse cursor-tracking experiments investigated predictive sentence processing at speed. Participants viewed visual arrays with objects like a bike and kite while hearing predictive sentences like, “What the man will ride, which is shown on this page, is the bike,” or non-predictive sentences like, “What the man will spot, which is shown on this page, is the bike.” Based on the selectional restrictions of “ride” (i.e., vs. “spot”), participants made mouse cursor movements to the bike before hearing the noun (...) “bike.” Compellingly, this effect was observed at speech rates of ∼3 (Experiment 1), ∼6 (Experiment 2), and ∼9 (Experiment 3) syllables/s. While prior research suggests striking limits on prediction, these results highlight temporal dynamics that may impact comprehenders’ ability to preactivate information when hearing impressively rapid speech. Implications for theories of sentence processing are discussed. (shrink)

The Visual World Paradigm (VWP) presents listeners with a challenging problem: They must integrate two disparate signals, the spoken language and the visual context, in support of action (e.g., complex movements of the eyes across a scene). We present Impulse Processing, a dynamical systems approach to incremental eye movements in the visual world that suggests a framework for integrating language, vision, and action generally. Our approach assumes that impulses driven by the language and the visual context impinge minutely on a (...) dynamical landscape of attractors corresponding to the potential eye-movement behaviors of the system. We test three unique predictions of our approach in an empirical study in the VWP, and describe an implementation in an artificial neural network. We discuss the Impulse Processing framework in relation to other models of the VWP. (shrink)

We investigated the influence of globally ungrammatical local syntactic constraints on sentence comprehension, as well as the corresponding activation of global and local representations. In Experiment 1, participants viewed visual scenes with objects like a carousel and motorbike while hearing sentences with noun phrase (NP) or verb phrase (VP) modifiers like “The girl who likes the man (from London/very much) will ride the carousel.” In both cases, “girl” and “ride” predicted carousel as the direct object; however, the locally coherent combination (...) “the man from London will ride…” in NP cases alternatively predicted motorbike. During “ride,” local constraints, although ruled out by the global constraints, influenced prediction as strongly as global constraints: While motorbike was fixated less than carousel in VP cases, it was fixated as much as carousel in NP cases. In Experiment 2, these local constraints likewise slowed reading times. We discuss implications for theories of sentence processing. (shrink)

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. (shrink)

We propose, following Clark, that generative models also play a central role in the perception and interpretation of linguistic signals. The data explanation approach provides a rationale for the role of prediction in language processing and unifies a number of phenomena, including multiple-cue integration, adaptation effects, and cortical responses to violations of linguistic expectations.

The human sentence processor is able to make rapid predictions about upcoming linguistic input. For example, upon hearing the verb eat, anticipatory eye-movements are launched toward edible objects in a visual scene. However, the cognitive mechanisms that underlie anticipation remain to be elucidated in ecologically valid contexts. Previous research has, in fact, mainly used clip-art scenes and object arrays, raising the possibility that anticipatory eye-movements are limited to displays containing a small number of objects in a visually impoverished context. In (...) Experiment 1, we confirm that anticipation effects occur in real-world scenes and investigate the mechanisms that underlie such anticipation. In particular, we demonstrate that real-world scenes provide contextual information that anticipation can draw on: When the target object is not present in the scene, participants infer and fixate regions that are contextually appropriate. Experiment 2 investigates whether such contextual inference requires the co-presence of the scene, or whether memory representations can be utilized instead. The same real-world scenes as in Experiment 1 are presented to participants, but the scene disappears before the sentence is heard. We find that anticipation occurs even when the screen is blank, including when contextual inference is required. We conclude that anticipatory language processing is able to draw upon global scene representations to make contextual inferences. These findings are compatible with theories assuming contextual guidance, but posit a challenge for theories assuming object-based visual indices. (shrink)

The target article sketched and explored a mechanism (action-oriented predictive processing) most plausibly associated with core forms of cortical processing. In assessing the attractions and pitfalls of the proposal we should keep that element distinct from larger, though interlocking, issues concerning the nature of adaptive organization in general.