Literature DB >> 35971041

SCOPE: The South Carolina psycholinguistic metabase.

Chuanji Gao1, Svetlana V Shinkareva2, Rutvik H Desai3.   

Abstract

The number of databases that provide various measurements of lexical properties for psycholinguistic research has increased rapidly in recent years. The proliferation of lexical variables, and the multitude of associated databases, makes the choice, comparison, and standardization of these variables in psycholinguistic research increasingly difficult. Here, we introduce The South Carolina Psycholinguistic Metabase (SCOPE), which is a metabase (or a meta-database) containing an extensive, curated collection of psycholinguistic variable values from major databases. The metabase currently contains 245 lexical variables, organized into seven major categories: General (e.g., frequency), Orthographic (e.g., bigram frequency), Phonological (e.g., phonological uniqueness point), Orth-Phon (e.g., consistency), Semantic (e.g., concreteness), Morphological (e.g., number of morphemes), and Response variables (e.g., lexical decision latency). We hope that SCOPE will become a valuable resource for researchers in psycholinguistics and affiliated disciplines such as cognitive neuroscience of language, computational linguistics, and communication disorders. The availability and ease of use of the metabase with comprehensive set of variables can facilitate the understanding of the unique contribution of each of the variables to word processing, and that of interactions between variables, as well as new insights and development of improved models and theories of word processing. It can also help standardize practice in psycholinguistics. We demonstrate use of the metabase by measuring relationships between variables in multiple ways and testing their individual contribution towards a number of dependent measures, in the most comprehensive analysis of this kind to date. The metabase is freely available at go.sc.edu/scope.
© 2022. The Psychonomic Society, Inc.

Entities:  

Keywords:  Database; Lexical characteristics; Psycholinguistic; Word recognition

Year:  2022        PMID: 35971041     DOI: 10.3758/s13428-022-01934-0

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  41 in total

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Authors:  A Caramazza; A Laudanna; C Romani
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7.  Word prevalence norms for 62,000 English lemmas.

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Journal:  Behav Res Methods       Date:  2019-04

8.  Toward a brain-based componential semantic representation.

Authors:  Jeffrey R Binder; Lisa L Conant; Colin J Humphries; Leonardo Fernandino; Stephen B Simons; Mario Aguilar; Rutvik H Desai
Journal:  Cogn Neuropsychol       Date:  2016-06-16       Impact factor: 2.468

9.  The English Lexicon Project.

Authors:  David A Balota; Melvin J Yap; Michael J Cortese; Keith A Hutchison; Brett Kessler; Bjorn Loftis; James H Neely; Douglas L Nelson; Greg B Simpson; Rebecca Treiman
Journal:  Behav Res Methods       Date:  2007-08

10.  LexiCAL: A calculator for lexical variables.

Authors:  Qian Wen Chee; Keng Ji Chow; Winston D Goh; Melvin J Yap
Journal:  PLoS One       Date:  2021-04-30       Impact factor: 3.240

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