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Manuel Perea

Researcher at University of Valencia

Publications -  262
Citations -  10396

Manuel Perea is an academic researcher from University of Valencia. The author has contributed to research in topics: Lexical decision task & Priming (psychology). The author has an hindex of 51, co-authored 262 publications receiving 9254 citations. Previous affiliations of Manuel Perea include Universidad Católica de Valencia San Vicente Mártir & Massachusetts Institute of Technology.

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BuscaPalabras: A program for deriving orthographic and phonological neighborhood statistics and other psycholinguistic indices in Spanish

TL;DR: A Windows program that enables users to obtain a broad range of statistics concerning the properties of word and nonword stimuli in Spanish, including word frequency, syllable frequency, bigram and biphone frequency, orthographic similarity, Orthographic and phonological structure, concreteness, familiarity, imageability, valence, arousal, and age-of-acquisition measures.
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Can CANISO activate CASINO? Transposed-letter similarity effects with nonadjacent letter positions ☆

TL;DR: This paper examined the effect of transposed-letter similarity effects on the lexical representation of non-adjacent transpositions of consonants versus vowels in a lexical decision task.
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The Overlap Model: A Model of Letter Position Coding

TL;DR: The authors extend R. Ratcliff's (1981) theory of order relations for encoding of letter positions and show that the model can successfully deal with the presence of effects of letter transposition, letter migration, repeated letters, or subset/superset effects.
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A model of the go/no-go task

TL;DR: The best model was one in which only response criteria and the nondecisional components of processing changed between the 2 variants, supporting the view that the core information on which decisions are based is not different between them.
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EsPal: One-stop shopping for Spanish word properties

TL;DR: EsPal is a Web-accessible repository containing a comprehensive set of properties of Spanish words, based on an extensible set of data sources, beginning with a 300 million token written database and a 460 million token subtitle database.