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A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures

Models of lemma access in language production predict occasional mis-selection of lemmas linked to highly similar concepts (synonyms) and concepts standing in a set-superset relation (subsumatives). It is unclear, however, if such errors occur in spontaneous speech, and if they do, whether humans ca...

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Detalles Bibliográficos
Autores principales: Alderete, John, Baese-Berk, Melissa, Brasoveanu, Adrian, Law, Jess H. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198225/
https://www.ncbi.nlm.nih.gov/pubmed/37213437
http://dx.doi.org/10.5334/joc.278
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author Alderete, John
Baese-Berk, Melissa
Brasoveanu, Adrian
Law, Jess H. K.
author_facet Alderete, John
Baese-Berk, Melissa
Brasoveanu, Adrian
Law, Jess H. K.
author_sort Alderete, John
collection PubMed
description Models of lemma access in language production predict occasional mis-selection of lemmas linked to highly similar concepts (synonyms) and concepts standing in a set-superset relation (subsumatives). It is unclear, however, if such errors occur in spontaneous speech, and if they do, whether humans can detect them given their minimal impact on sentence meaning. This data report examines a large corpus of English spontaneous speech errors and documents a low but non-negligible occurrence of these categories. The existence of synonym and subsumative errors is documented in a larger open access data set that supports a range of new investigations of the semantic structure of lexical substitution and word blend speech errors.
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spelling pubmed-101982252023-05-20 A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures Alderete, John Baese-Berk, Melissa Brasoveanu, Adrian Law, Jess H. K. J Cogn Data Report Models of lemma access in language production predict occasional mis-selection of lemmas linked to highly similar concepts (synonyms) and concepts standing in a set-superset relation (subsumatives). It is unclear, however, if such errors occur in spontaneous speech, and if they do, whether humans can detect them given their minimal impact on sentence meaning. This data report examines a large corpus of English spontaneous speech errors and documents a low but non-negligible occurrence of these categories. The existence of synonym and subsumative errors is documented in a larger open access data set that supports a range of new investigations of the semantic structure of lexical substitution and word blend speech errors. Ubiquity Press 2023-05-18 /pmc/articles/PMC10198225/ /pubmed/37213437 http://dx.doi.org/10.5334/joc.278 Text en Copyright: © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Data Report
Alderete, John
Baese-Berk, Melissa
Brasoveanu, Adrian
Law, Jess H. K.
A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures
title A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures
title_full A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures
title_fullStr A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures
title_full_unstemmed A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures
title_short A New Corpus of Lexical Substitution and Word Blend Errors: Probing the Semantic Structure of Lemma Access Failures
title_sort new corpus of lexical substitution and word blend errors: probing the semantic structure of lemma access failures
topic Data Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198225/
https://www.ncbi.nlm.nih.gov/pubmed/37213437
http://dx.doi.org/10.5334/joc.278
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