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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
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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
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Evan Kidd; Gabriela Garrido Rodríguez; Sasha Wilmoth; Javier E. Garrido Guillén; Rachel Nordlinger – Cognitive Science, 2025
Sentence production is a stage-like process of mapping a conceptual representation to the linear speech signal via grammatical rules. While the typological diversity of languages is vast and thus must necessarily influence sentence production, psycholinguistic studies of diverse languages are comparatively rare. Here, we present data from a…
Descriptors: Language Planning, Language Processing, Eye Movements, Word Order
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Wu, Sarah A.; Gibson, Edward – Cognitive Science, 2021
When asked to identify objects having unique shapes and colors among other objects, English speakers often produce redundant color modifiers ("the red circle") while Spanish speakers produce them less often ("el circulo (rojo)"). This cross-linguistic difference has been attributed to a difference in word order between the two…
Descriptors: Word Order, Predictor Variables, Contrastive Linguistics, English
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Kocab, Annemarie; Lam, Hannah; Snedeker, Jesse – Cognitive Science, 2018
A well-known typological observation is the dominance of subject-initial word orders, SOV and SVO, across the world's languages. Recent findings from gestural language creation paradigms offer possible explanations for the prevalence of SOV. When asked to gesture transitive events with an animate agent and inanimate patient, gesturers tend to…
Descriptors: Word Order, Nonverbal Communication, Hypothesis Testing, Novelty (Stimulus Dimension)
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Yadav, Himanshu; Vaidya, Ashwini; Shukla, Vishakha; Husain, Samar – Cognitive Science, 2020
Much previous work has suggested that word order preferences across languages can be explained by the dependency distance minimization constraint (Ferrer-i Cancho, 2008, 2015; Hawkins, 1994). Consistent with this claim, corpus studies have shown that the average distance between a head (e.g., verb) and its dependent (e.g., noun) tends to be short…
Descriptors: Word Order, Computational Linguistics, Contrastive Linguistics, Psycholinguistics
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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
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Dunn, Timothy L.; Risko, Evan F. – Cognitive Science, 2016
Individuals frequently make use of the body and environment when engaged in a cognitive task. For example, individuals will often spontaneously physically rotate when faced with rotated objects, such as an array of words, to putatively offload the performance costs associated with stimulus rotation. We looked to further examine this idea by…
Descriptors: Metacognition, Difficulty Level, Word Order, Evaluation Methods
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Culbertson, Jennifer; Smolensky, Paul – Cognitive Science, 2012
In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language-learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners' input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized…
Descriptors: Models, Bayesian Statistics, Artificial Languages, Language Acquisition
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Reilly, Jamie; Kean, Jacob – Cognitive Science, 2007
Words associated with perceptually salient, highly imageable concepts are learned earlier in life, more accurately recalled, and more rapidly named than abstract words (R. W. Brown, 1976; Walker & Hulme, 1999). Theories accounting for this concreteness effect have focused exclusively on semantic properties of word referents. A novel possibility is…
Descriptors: Semantics, Etymology, Word Processing, Nouns
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Hale, John – Cognitive Science, 2006
A word-by-word human sentence processing complexity metric is presented. This metric formalizes the intuition that comprehenders have more trouble on words contributing larger amounts of information about the syntactic structure of the sentence as a whole. The formalization is in terms of the conditional entropy of grammatical continuations, given…
Descriptors: Sentences, Sentence Structure, Grammar, Prediction