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John Hollander; Andrew Olney – Cognitive Science, 2024
Recent investigations on how people derive meaning from language have focused on task-dependent shifts between two cognitive systems. The symbolic (amodal) system represents meaning as the statistical relationships between words. The embodied (modal) system represents meaning through neurocognitive simulation of perceptual or sensorimotor systems…
Descriptors: Verbs, Symbolic Language, Language Processing, Semantics
Westera, Matthijs; Gupta, Abhijeet; Boleda, Gemma; Padó, Sebastian – Cognitive Science, 2021
Cognitive scientists have long used distributional semantic representations of categories. The predominant approach uses distributional representations of category-denoting nouns, such as "city" for the category city. We propose a novel scheme that represents categories as prototypes over representations of names of its members, such as…
Descriptors: Classification, Models, Nouns, Cognitive Processes
Löhr, Guido; Michel, Christian – Cognitive Science, 2022
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…
Descriptors: Cognitive Processes, Intuition, Decision Making, Ethics
Paape, Dario; Vasishth, Shravan – Cognitive Science, 2022
What is the processing cost of being garden-pathed by a temporary syntactic ambiguity? We argue that comparing average reading times in garden-path versus non-garden-path sentences is not enough to answer this question. Trial-level contaminants such as inattention, the fact that garden pathing may occur non-deterministically in the ambiguous…
Descriptors: Computation, Language Processing, Syntax, Ambiguity (Semantics)
Huang, Yi Ting; Ovans, Zoe – Cognitive Science, 2022
Children often interpret first noun phrases (NP1s) as agents, which improves comprehension of actives but hinders passives. While children sometimes withhold the agent-first bias, the reasons remain unclear. The current study tests the hypothesis that children default to the agent-first bias as a "best guess" of role assignment when they…
Descriptors: Syntax, Nouns, Phrase Structure, Language Processing
Sauppe, Sebastian; Naess, Åshild; Roversi, Giovanni; Meyer, Martin; Bornkessel-Schlesewsky, Ina; Bickel, Balthasar – Cognitive Science, 2023
The language comprehension system preferentially assumes that agents come first during incremental processing. While this might reflect a biologically fixed bias, shared with other domains and other species, the evidence is limited to languages that place agents first, and so the bias could also be learned from usage frequency. Here, we probe the…
Descriptors: Language Processing, Diagnostic Tests, Patients, Nouns
Chen, Zhong; Hale, John T. – Cognitive Science, 2021
Information-theoretic complexity metrics, such as Surprisal (Hale, 2001; Levy, 2008) and Entropy Reduction (Hale, 2003), are linking hypotheses that bridge theorized expectations about sentences and observed processing difficulty in comprehension. These expectations can be viewed as syntactic derivations constrained by a grammar. However, this…
Descriptors: Sentences, Language Processing, Phrase Structure, Nouns
King, Daniel; Gentner, Dedre – Cognitive Science, 2022
This paper explores the processes underlying verb metaphoric extension. Work on metaphor processing has largely focused on noun metaphor, despite evidence that verb metaphor is more common. Across three experiments, we collected paraphrases of simple intransitive sentences varying in semantic strain--for example, "The motor complained"…
Descriptors: Semantics, Verbs, Figurative Language, Phrase Structure
Masato Nakamura; Shota Momma; Hiromu Sakai; Colin Phillips – Cognitive Science, 2024
Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…
Descriptors: Diagnostic Tests, Nouns, Language Processing, Verbs
Garofalo, Gioacchino; Marino, Barbara F. M.; Bellelli, Stefano; Riggio, Lucia – Cognitive Science, 2021
We performed three experiments to investigate whether adjectives can modulate the sensorimotor activation elicited by nouns. In Experiment 1, nouns of graspable objects were used as stimuli. Participants had to decide if each noun referred to a natural or artifact, by performing either a precision or a power reach-to-grasp movement. Response grasp…
Descriptors: Nouns, Form Classes (Languages), Reaction Time, Psychomotor Skills
Shin, Gyu-Ho – Cognitive Science, 2021
It has long been believed across languages that the "Agent-First" strategy, a comprehension heuristic that maps the first noun onto the agent role, is a general cognitive bias which applies automatically and faithfully to children's comprehension. The present study asks how this strategy interplays with such grammatical cues as the…
Descriptors: Korean, Acoustics, Grammar, Nouns
Wang, Wentao; Vong, Wai Keen; Kim, Najoung; Lake, Brenden M. – Cognitive Science, 2023
Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this…
Descriptors: Brain Hemisphere Functions, Linguistic Input, Longitudinal Studies, Self Concept
Andrea Bruera; Yuan Tao; Andrew Anderson; Derya Çokal; Janosch Haber; Massimo Poesio – Cognitive Science, 2023
The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…
Descriptors: Neurosciences, Brain Hemisphere Functions, Artificial Intelligence, Diagnostic Tests
Lowder, Matthew W.; Gordon, Peter C. – Cognitive Science, 2021
Although a large literature demonstrates that object-extracted relative clauses (ORCs) are harder to process than subject-extracted relative clauses (SRCs), there is less agreement regarding where during processing this difficulty emerges, as well as how best to explain these effects. An eye-tracking study by Staub, Dillon, and Clifton (2017)…
Descriptors: Verbs, Nouns, Phrase Structure, Language Processing
Mansfield, John; Saldana, Carmen; Hurst, Peter; Nordlinger, Rachel; Stoll, Sabine; Bickel, Balthasar; Perfors, Andrew – Cognitive Science, 2022
Inflectional affixes expressing the same grammatical category (e.g., subject agreement) tend to appear in the same morphological position in the word. We hypothesize that this cross-linguistic tendency toward "category clustering" is at least partly the result of a learning bias, which facilitates the transmission of morphology from one…
Descriptors: Morphology (Languages), Morphemes, Grammar, Transfer of Training