Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 15 |
Descriptor
| Syntax | 15 |
| Language Processing | 9 |
| Grammar | 6 |
| Semantics | 5 |
| Verbs | 5 |
| Contrastive Linguistics | 4 |
| Language Acquisition | 4 |
| Computation | 3 |
| English | 3 |
| Form Classes (Languages) | 3 |
| Language Research | 3 |
| More ▼ | |
Source
| Cognitive Science | 15 |
Author
| Amie Paige | 1 |
| Aylin C. Küntay | 1 |
| Barbara B. Pfeiler | 1 |
| Birgit Hellwig | 1 |
| Brandt, Silke | 1 |
| Brehm, Laurel | 1 |
| Brown, Penelope | 1 |
| Caroline Rowland | 1 |
| Cho, Pyeong Whan | 1 |
| Enfield, N. J. | 1 |
| Evan Kidd | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 15 |
| Reports - Research | 12 |
| Reports - Evaluative | 3 |
Education Level
Audience
Location
| Hungary | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
John R. Starr; Marten van Schijndel – Cognitive Science, 2025
Previous psycholinguistic research has demonstrated that sentence processing varies according to both syntactic and discourse context. However, a systematic investigation of how such contexts influence how the processor manages low-level representations of linguistic structure has yet to be carried out. In this paper, we conduct a series of…
Descriptors: Psycholinguistics, Language Research, Phonology, Syntax
Seamus Donnelly; Caroline Rowland; Franklin Chang; Evan Kidd – Cognitive Science, 2024
Prediction-based accounts of language acquisition have the potential to explain several different effects in child language acquisition and adult language processing. However, evidence regarding the developmental predictions of such accounts is mixed. Here, we consider several predictions of these accounts in two large-scale developmental studies…
Descriptors: Prediction, Error Patterns, Syntax, Priming
Nicholas D. Duran; Amie Paige; Sidney K. D'Mello – Cognitive Science, 2024
Cocreating meaning in collaboration is challenging. Success is often determined by people's abilities to coordinate their language to converge upon shared mental representations. Here we explore one set of low-level linguistic behaviors, linguistic alignment, that both emerges from, and facilitates, outcomes of high-level convergence. Linguistic…
Descriptors: Task Analysis, Semantics, Syntax, Problem Solving
Sanghee J. Kim; Ming Xiang – Cognitive Science, 2024
While a large body of work in sentence comprehension has explored how different types of linguistic information are used to guide syntactic parsing, less is known about the effect of discourse structure. This study investigates this question, focusing on the main and subordinate discourse contrast manifested in the distinction between restrictive…
Descriptors: Language Processing, Discourse Analysis, Phrase Structure, Syntax
Ronai, Eszter; Xiang, Ming – Cognitive Science, 2023
Memory limitations and probabilistic expectations are two key factors that have been posited to play a role in the incremental processing of natural language. Relative clauses (RCs) have long served as a key proving ground for such theories of language processing. Across three self-paced reading experiments, we test the online comprehension of…
Descriptors: Memory, Expectation, Language Processing, Syntax
Garrido Rodriguez, Gabriela; Norcliffe, Elisabeth; Brown, Penelope; Huettig, Falk; Levinson, Stephen C. – Cognitive Science, 2023
We present a visual world eye-tracking study on Tseltal (a Mayan language) and investigate whether verbal information can be used to anticipate an upcoming referent. Basic word order in transitive sentences in Tseltal is Verb--Object--Subject (VOS). The verb is usually encountered first, making argument structure and syntactic information…
Descriptors: Mayan Languages, Eye Movements, Word Order, Verbs
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)
Brehm, Laurel; Cho, Pyeong Whan; Smolensky, Paul; Goldrick, Matthew A. – Cognitive Science, 2022
Subject-verb agreement errors are common in sentence production. Many studies have used experimental paradigms targeting the production of subject-verb agreement from a sentence preamble ("The key to the cabinets") and eliciting verb errors (… "*were shiny"). Through reanalysis of previous data (50 experiments; 102,369…
Descriptors: Sentences, Sentence Structure, Grammar, Verbs
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
Fusaroli, Riccardo; Weed, Ethan; Rocca, Roberta; Fein, Deborah; Naigles, Letitia – Cognitive Science, 2023
Linguistic repetitions in children are conceptualized as negative in children with autism -- echolalia, without communicative purpose -- and positive in typically developing (TD) children -- linguistic alignment involved in shared engagement, common ground and language acquisition. To investigate this apparent contradiction we analyzed spontaneous…
Descriptors: Computation, Autism Spectrum Disorders, Young Children, Repetition
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
Sakine Çabuk-Balli; Jekaterina Mazara; Aylin C. Küntay; Birgit Hellwig; Barbara B. Pfeiler; Paul Widmer; Sabine Stoll – Cognitive Science, 2025
Negation is a cornerstone of human language and one of the few universals found in all languages. Without negation, neither categorization nor efficient communication would be possible. Languages, however, differ remarkably in how they express negation. It is yet widely unknown how the way negation is marked influences the acquisition process of…
Descriptors: Morphemes, Native Language, Language Acquisition, Infants
Brandt, Silke; Hargreaves, Stephanie; Theakston, Anna – Cognitive Science, 2023
A key factor that affects whether and at what age children can demonstrate an understanding of false belief and complement-clause constructions is the type of task used (whether it is implicit/indirect or explicit/direct). In the current study, we investigate, in an implicit/indirect way, whether children understand that a story character's belief…
Descriptors: Beliefs, Phrase Structure, Cognitive Ability, Child Development
Enfield, N. J. – Cognitive Science, 2023
A central concern of the cognitive science of language since its origins has been the concept of the linguistic system. Recent approaches to the system concept in language point to the exceedingly complex relations that hold between many kinds of interdependent systems, but it can be difficult to know how to proceed when "everything is…
Descriptors: Psycholinguistics, Guidelines, Interdisciplinary Approach, Language Research
de Varda, Andrea Gregor; Strapparava, Carlo – Cognitive Science, 2022
The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set…
Descriptors: Learning Processes, Phonology, Language Patterns, Language Classification

Peer reviewed
Direct link
