In natural reading, the processing of words in fixation is influenced by semantic information obtained through preview (i.e., the semantic preview effect). Previous studies have confirmed that two types of semantic information exhibit the semantic preview effect: semantic association, which is reflected by the semantic relationship between preview…

Purpose: The purpose of this study was to determine if the Vocabulary Acquisition and Usage for Late Talkers (VAULT) intervention could be efficaciously applied to a new treatment target: words a child neither understood nor said. We also assessed whether the type of context variability used to encourage semantic learning (i.e., action or object)…

Most words in natural languages are polysemous; that is, they have related but different meanings in different contexts. This one-to-many mapping of form to meaning presents a challenge to understanding how word meanings are learned, represented, and processed. Previous work has focused on solutions in which multiple static semantic…

Concrete symbols (e.g., "sun," "run") can be learned in the context of objects and actions, thereby grounding their meaning in the world. However, it is controversial whether a comparable avenue to semantic learning exists for abstract symbols (e.g., "democracy"). When we simulated the putative brain mechanisms of…

The coherence threshold marks the point at which a reader has gained a sufficient comprehension level to move on in a text. Previous research has demonstrated that the readers' coherence threshold can be manipulated by increasing or decreasing task demands. The present experiments examined a manipulation of the coherence threshold within the text…

Scalar inference, the process by which we infer meanings stronger than what was explicitly said, has long been a central topic of investigation in theoretical semantics-pragmatics, as well as in psycholinguistics. Upon encountering the sentence "Mary ate some of the deep dish", for instance, hearers regularly compute the pragmatic…

Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…

Purpose: According to the interpersonal synergy model of spoken dialogue, interlocutors modify their communicative behaviors to meet the contextual demands of a given conversation. Although a growing body of research supports this postulation for linguistic behaviors (e.g., semantics, syntax), little is understood about how this model applies to…

Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents presents a unique opportunity to investigate at scale how human semantic knowledge is organized, how people use it to make fundamental judgments ("How similar are cats and bears?"), and how these judgments…

We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we…

This paper draws on critical discourse analysis to examine how health and physical education (HPE) curricula from Sweden, Norway, South Africa, Australia, and New Zealand may influence possibilities for the enactment of social justice in schools. The findings highlight the presence of social justice intentions across the five curricula as related…

The present study seeks to revisit the concept of intertextuality as integrated into a sociocognitive discourse-analytical perspective, whereby intertextual meanings can be explicated via semantic macropropositions, mental representations, event models, and pragmatic context models. The study's significance derives from its scholarly endeavour to…

Lexical access is highly contextual. For example, vowel (rime) information is prioritized over tone in the lexical access of isolated words in Mandarin Chinese, but these roles are flipped in constraining contexts. The time course of these contextual effects remains unclear, and so here we tracked the real-time eye gaze of native Mandarin speakers…

Besides explicit inference of word meanings, associating words with diverse contexts may be a key mechanism underlying vocabulary learning through reading. Drawing from distributional semantic theory, we developed a text modification method called reflash to facilitate both word-context association and explicit inference. Using a set of left and…

Speakers vary in their pronunciations of the sounds in their native language. Listeners use lexical knowledge to adjust their phonetic categories to speakers' idiosyncratic pronunciations. Lexical information can, however, be inconclusive or become available too late to guide this phonetic retuning. Sentence context is known to affect lexical…