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Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
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Staub, Adrian; Dillon, Brian; Clifton, Charles, Jr. – Cognitive Science, 2017
Two experiments used eyetracking during reading to examine the processing of the matrix verb following object and subject relative clauses. The experiments show that the processing of the matrix verb following an object relative is indeed slowed compared to the processing of the same verb following a subject relative. However, this difficulty is…
Descriptors: Verbs, Reading Comprehension, Difficulty Level, Sentences
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Lev-Ari, Shiri – Cognitive Science, 2016
People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals' linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in…
Descriptors: Social Networks, Semantics, Language Processing, Dining Facilities
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Giustolisi, Beatrice; Emmorey, Karen – Cognitive Science, 2018
This study investigated visual statistical learning (VSL) in 24 deaf signers and 24 hearing non-signers. Previous research with hearing individuals suggests that SL mechanisms support literacy. Our first goal was to assess whether VSL was associated with reading ability in deaf individuals, and whether this relation was sustained by a link between…
Descriptors: Deafness, Hearing Impairments, Task Analysis, Correlation
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Farmer, Thomas A.; Cargill, Sarah A.; Hindy, Nicholas C.; Dale, Rick; Spivey, Michael J. – Cognitive Science, 2007
Although several theories of online syntactic processing assume the parallel activation of multiple syntactic representations, evidence supporting simultaneous activation has been inconclusive. Here, the continuous and non-ballistic properties of computer mouse movements are exploited, by recording their streaming x, y coordinates to procure…
Descriptors: Reading Comprehension, Sentence Structure, Computers, Language Processing
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Grodner, Daniel; Gibson, Edward – Cognitive Science, 2005
All other things being equal the parser favors attaching an ambiguous modifier to the most recent possible site. A plausible explanation is that locality preferences such as this arise in the service of minimizing memory costs--more distant sentential material is more difficult to reactivate than more recent material. Note that processing any…
Descriptors: Linguistic Input, Sentence Structure, Language Processing, English