LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon

Published 30 September 2021

Detalles Bibliográficos
Autores: Li, ZhaoBin, Crinnion, Anne Marie, Magnuson, James S.
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/58617
Acceso en línea:http://hdl.handle.net/10810/58617
Access Level:acceso abierto
Palabra clave:Psycholinguistics
Lexicon
Word recognition
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spelling LexFindR: A fast, simple, and extensible R package for finding similar words in a lexiconLi, ZhaoBinCrinnion, Anne MarieMagnuson, James S.PsycholinguisticsLexiconWord recognitionPublished 30 September 2021Language scientists often need to generate lists of related words, such as potential competitors. Theymay do this for purposes of experimental control (e.g., selecting items matched on lexical neighborhood but varying in word frequency), or to test theoretical predictions (e.g., hypothesizing that a novel type of competitor may impact word recognition). Several online tools are available, but most are constrained to a fixed lexicon and fixed sets of competitor definitions, and may not give the user full access to or control of source data. We present LexFindR, an open-source R package that can be easily modified to include additional, novel competitor types. LexFindR is easy to use. Because it can leverage multiple CPU cores and uses vectorized code when possible, it is also extremely fast. In this article, we present an overview of LexFindR usage, illustrated with examples.We also explain the details of how we implemented several standard lexical competitor types used in spoken word recognition research (e.g., cohorts, neighbors, embeddings, rhymes), and show how “lexical dimensions” (e.g., word frequency, word length, uniqueness point) can be integrated into LexFindR workflows (for example, to calculate “frequency-weighted competitor probabilities”), for both spoken and visual word recognition research.This work was supported in part by U.S. National Science Foundation grants PAC 1754284 (JM, PI) and IGE NRT 1747486 (JM, PI). The authors are solely responsible for the content of this article. This work was also supported in part by the Basque Government through the BERC 2018-2021 program, and by the Agencia Estatal de Investigaci´on through BCBL Severo Ochoa excellence accreditation SEV-2015-0490.SPRINGER202220222022info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/58617reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/GV/BERC2018-2021/info:eu-repo/grantAgreement/MINECO/SEV-2015-0490/https://www.springer.com/journal/13428info:eu-repo/semantics/openAccess© The Psychonomic Society, Inc. 2021oai:addi.ehu.eus:10810/586172026-06-18T09:23:17Z
dc.title.none.fl_str_mv LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
title LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
spellingShingle LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
Li, ZhaoBin
Psycholinguistics
Lexicon
Word recognition
title_short LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
title_full LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
title_fullStr LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
title_full_unstemmed LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
title_sort LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon
dc.creator.none.fl_str_mv Li, ZhaoBin
Crinnion, Anne Marie
Magnuson, James S.
author Li, ZhaoBin
author_facet Li, ZhaoBin
Crinnion, Anne Marie
Magnuson, James S.
author_role author
author2 Crinnion, Anne Marie
Magnuson, James S.
author2_role author
author
dc.subject.none.fl_str_mv Psycholinguistics
Lexicon
Word recognition
topic Psycholinguistics
Lexicon
Word recognition
description Published 30 September 2021
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/58617
url http://hdl.handle.net/10810/58617
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/GV/BERC2018-2021/
info:eu-repo/grantAgreement/MINECO/SEV-2015-0490/
https://www.springer.com/journal/13428
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
© The Psychonomic Society, Inc. 2021
eu_rights_str_mv openAccess
rights_invalid_str_mv © The Psychonomic Society, Inc. 2021
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SPRINGER
publisher.none.fl_str_mv SPRINGER
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
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