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Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
Brouwer, Harm; Crocker, Matthew W.; Venhuizen, Noortje J.; Hoeks, John C. J. – Cognitive Science, 2017
Ten years ago, researchers using event-related brain potentials (ERPs) to study language comprehension were puzzled by what looked like a "Semantic Illusion": Semantically anomalous, but structurally well-formed sentences did not affect the N400 component--traditionally taken to reflect semantic integration--but instead produced a P600…
Descriptors: Diagnostic Tests, Brain Hemisphere Functions, Language Processing, Semantics
Montag, Jessica L.; Jones, Michael N.; Smith, Linda B. – Cognitive Science, 2018
The words in children's language learning environments are strongly predictive of cognitive development and school achievement. But how do we measure language environments and do so at the scale of the many words that children hear day in, day out? The quantity and quality of words in a child's input are typically measured in terms of total amount…
Descriptors: Language Acquisition, Vocabulary Development, Linguistic Input, Prediction
Dillon, Brian; Dunbar, Ewan; Idsardi, William – Cognitive Science, 2013
To acquire one's native phonological system, language-specific phonological categories and relationships must be extracted from the input. The acquisition of the categories and relationships has each in its own right been the focus of intense research. However, it is remarkable that research on the acquisition of categories and the relations…
Descriptors: Phonology, Eskimo Aleut Languages, Language Acquisition, Phonetics
Perry, Conrad; Ziegler, Johannes C.; Zorzi, Marco – Cognitive Science, 2013
It is often assumed that graphemes are a crucial level of orthographic representation above letters. Current connectionist models of reading, however, do not address how the mapping from letters to graphemes is learned. One major challenge for computational modeling is therefore developing a model that learns this mapping and can assign the…
Descriptors: English, Graphemes, Reading Processes, Cognitive Mapping
Dowman, Mike – Cognitive Science, 2007
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay's (1969) hypothesis that the typological patterns observed in basic color term systems are produced by a process of cultural evolution under the influence of biases resulting from the special properties of universal focal colors. Ten agents…
Descriptors: Color, Language Research, Simulation, Language Patterns
Cangelosi, Angelo; Riga, Thomas – Cognitive Science, 2006
The grounding of symbols in computational models of linguistic abilities is one of the fundamental properties of psychologically plausible cognitive models. In this article, we present an embodied model for the grounding of language in action based on epigenetic robots. Epigenetic robotics is one of the new cognitive modeling approaches to…
Descriptors: Models, Cognitive Development, Robotics, Imitation