Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 7 |
Descriptor
Inferences | 8 |
Semantics | 8 |
Cognitive Processes | 3 |
Language Acquisition | 3 |
Animals | 2 |
Computational Linguistics | 2 |
Correlation | 2 |
Language Processing | 2 |
Language Research | 2 |
Models | 2 |
Sentence Structure | 2 |
More ▼ |
Source
Cognitive Science | 8 |
Author
Publication Type
Journal Articles | 8 |
Reports - Research | 6 |
Reports - Descriptive | 2 |
Education Level
Higher Education | 1 |
Audience
Location
Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
St. Pierre, Thomas; Johnson, Elizabeth K. – Cognitive Science, 2021
To help infer the meanings of novel words, children frequently capitalize on their current linguistic knowledge to constrain the hypothesis space. Children's syntactic knowledge of function words has been shown to be especially useful in helping to infer the meanings of novel words, with most previous research focusing on how children use…
Descriptors: Vocabulary Development, Young Children, Semantics, Knowledge Level
Schouwstra, Marieke; Swart, Henriëtte; Thompson, Bill – Cognitive Science, 2019
Natural languages make prolific use of conventional constituent-ordering patterns to indicate "who did what to whom," yet the mechanisms through which these regularities arise are not well understood. A series of recent experiments demonstrates that, when prompted to express meanings through silent gesture, people bypass native language…
Descriptors: Nonverbal Communication, Language Acquisition, Bayesian Statistics, Preferences
Koopman, Sarah E.; Mahon, Bradford Z.; Cantlon, Jessica F. – Cognitive Science, 2017
Language and culture endow humans with access to conceptual information that far exceeds any which could be accessed by a non-human animal. Yet, it is possible that, even without language or specific experiences, non-human animals represent and infer some aspects of similarity relations between objects in the same way as humans. Here, we show that…
Descriptors: Evolution, Animals, Discrimination Learning, Inferences
Ouyang, Long; Boroditsky, Lera; Frank, Michael C. – Cognitive Science, 2017
Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of…
Descriptors: Semiotics, Computational Linguistics, Syntax, Semantics
Shimojima, Atsushi; Katagiri, Yasuhiro – Cognitive Science, 2013
Semantic studies on diagrammatic notations (Barwise & Etchemendy,; Shimojima,; Stenning & Lemon, ) have revealed that the "non-deductive," "emergent," or "perceptual" effects of diagrams (Chandrasekaran, Kurup, Banerjee, Josephson, & Winkler,; Kulpa,; Larkin & Simon,; Lindsay, ) are all rooted in the…
Descriptors: Eye Movements, Spatial Ability, Visual Aids, Inferences
Saalbach, Henrik; Imai, Mutsumi; Schalk, Lennart – Cognitive Science, 2012
In German, nouns are assigned to one of the three gender classes. For most animal names, however, the assignment is independent of the referent's biological sex. We examined whether German-speaking children understand this independence of grammar from semantics or whether they assume that grammatical gender is mapped onto biological sex when…
Descriptors: Grammar, Semantics, Animals, Speech Communication
Politzer, Guy; Van der Henst, Jean-Baptiste; Delle Luche, Claire; Noveck, Ira A. – Cognitive Science, 2006
We present a set-theoretic model of the mental representation of classically quantified sentences (All P are Q, Some P are Q, Some P are not Q, and No P are Q). We take inclusion, exclusion, and their negations to be primitive concepts. We show that although these sentences are known to have a diagrammatic expression (in the form of the Gergonne…
Descriptors: Models, Sentence Structure, Semantics, Prediction
Dennis, Simon – Cognitive Science, 2005
The syntagmatic paradigmatic model is a distributed, memory-based account of verbal processing. Built on a Bayesian interpretation of string edit theory, it characterizes the control of verbal cognition as the retrieval of sets of syntagmatic and paradigmatic constraints from sequential and relational long-term memory and the resolution of these…
Descriptors: Memory, Language Processing, Semantics, Sentence Structure