Overspecified references: An experiment on lexical acquisition in a virtual environment

Autores
Luccioni, Alexandra; Benotti, Luciana; Landragin, Frédéric
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This study explores the role of quantity of information on vocabulary acquisition in a virtual world. Previous studies have shown that, although it makes interpretation more lengthy, speakers include more information in their referring expressions than is strictly necessary to identify an object - they overspecify. We aim to study the impact of this kind of overspecification on the acquisition of new lexemes in a foreign language. Our hypothesis is that using overspecified expressions during the practice of recently acquired vocabulary will help learners to better remember the lexemes and to exploit them more efficiently later on. In this paper, we describe an experimental study designed to evaluate this hypothesis, comparing two groups of learners who received overspecified and minimally specified referring expressions while practising newly acquired lexemes in the context of a language learning game in Russian. The game is situated in a virtual environment and the interaction is similar to that of a video game. Our results, based on experimental data from participants' performance as well as a post-experiment questionnaire, support the claim that overspecification improves lexical acquisition rates compared to minimal specification. Some pedagogical suggestions are provided for the design of referring expression generation algorithms in Technology-Enhanced Language Learning (TELL) and Computer Assisted Language Learning (CALL) Systems.
Fil: Luccioni, Alexandra. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; Argentina
Fil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; Argentina
Fil: Landragin, Frédéric. Ecole Normale Supérieure; Francia
Materia
Computer Assisted Language Learning
Lexical Acquisition
Overspecification
Referring Expression Generation
Virtual Worlds
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/69335
Acceder
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spelling Overspecified references: An experiment on lexical acquisition in a virtual environmentLuccioni, AlexandraBenotti, LucianaLandragin, FrédéricComputer Assisted Language LearningLexical AcquisitionOverspecificationReferring Expression GenerationVirtual Worldshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1This study explores the role of quantity of information on vocabulary acquisition in a virtual world. Previous studies have shown that, although it makes interpretation more lengthy, speakers include more information in their referring expressions than is strictly necessary to identify an object - they overspecify. We aim to study the impact of this kind of overspecification on the acquisition of new lexemes in a foreign language. Our hypothesis is that using overspecified expressions during the practice of recently acquired vocabulary will help learners to better remember the lexemes and to exploit them more efficiently later on. In this paper, we describe an experimental study designed to evaluate this hypothesis, comparing two groups of learners who received overspecified and minimally specified referring expressions while practising newly acquired lexemes in the context of a language learning game in Russian. The game is situated in a virtual environment and the interaction is similar to that of a video game. Our results, based on experimental data from participants' performance as well as a post-experiment questionnaire, support the claim that overspecification improves lexical acquisition rates compared to minimal specification. Some pedagogical suggestions are provided for the design of referring expression generation algorithms in Technology-Enhanced Language Learning (TELL) and Computer Assisted Language Learning (CALL) Systems.Fil: Luccioni, Alexandra. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; ArgentinaFil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; ArgentinaFil: Landragin, Frédéric. Ecole Normale Supérieure; FranciaElsevier Ltd2015-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/69335Luccioni, Alexandra; Benotti, Luciana; Landragin, Frédéric; Overspecified references: An experiment on lexical acquisition in a virtual environment; Elsevier Ltd; Computers in Human Behavior; 49; 8-2015; 94-1010747-5632CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.chb.2015.02.036info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0747563215001454info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T13:41:17Zoai:ri.conicet.gov.ar:11336/69335instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-12-23 13:41:17.921CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Overspecified references: An experiment on lexical acquisition in a virtual environment
title Overspecified references: An experiment on lexical acquisition in a virtual environment
spellingShingle Overspecified references: An experiment on lexical acquisition in a virtual environment
Luccioni, Alexandra
Computer Assisted Language Learning
Lexical Acquisition
Overspecification
Referring Expression Generation
Virtual Worlds
title_short Overspecified references: An experiment on lexical acquisition in a virtual environment
title_full Overspecified references: An experiment on lexical acquisition in a virtual environment
title_fullStr Overspecified references: An experiment on lexical acquisition in a virtual environment
title_full_unstemmed Overspecified references: An experiment on lexical acquisition in a virtual environment
title_sort Overspecified references: An experiment on lexical acquisition in a virtual environment
dc.creator.none.fl_str_mv Luccioni, Alexandra
Benotti, Luciana
Landragin, Frédéric
author Luccioni, Alexandra
author_facet Luccioni, Alexandra
Benotti, Luciana
Landragin, Frédéric
author_role author
author2 Benotti, Luciana
Landragin, Frédéric
author2_role author
author
dc.subject.none.fl_str_mv Computer Assisted Language Learning
Lexical Acquisition
Overspecification
Referring Expression Generation
Virtual Worlds
topic Computer Assisted Language Learning
Lexical Acquisition
Overspecification
Referring Expression Generation
Virtual Worlds
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This study explores the role of quantity of information on vocabulary acquisition in a virtual world. Previous studies have shown that, although it makes interpretation more lengthy, speakers include more information in their referring expressions than is strictly necessary to identify an object - they overspecify. We aim to study the impact of this kind of overspecification on the acquisition of new lexemes in a foreign language. Our hypothesis is that using overspecified expressions during the practice of recently acquired vocabulary will help learners to better remember the lexemes and to exploit them more efficiently later on. In this paper, we describe an experimental study designed to evaluate this hypothesis, comparing two groups of learners who received overspecified and minimally specified referring expressions while practising newly acquired lexemes in the context of a language learning game in Russian. The game is situated in a virtual environment and the interaction is similar to that of a video game. Our results, based on experimental data from participants' performance as well as a post-experiment questionnaire, support the claim that overspecification improves lexical acquisition rates compared to minimal specification. Some pedagogical suggestions are provided for the design of referring expression generation algorithms in Technology-Enhanced Language Learning (TELL) and Computer Assisted Language Learning (CALL) Systems.
Fil: Luccioni, Alexandra. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; Argentina
Fil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; Argentina
Fil: Landragin, Frédéric. Ecole Normale Supérieure; Francia
description This study explores the role of quantity of information on vocabulary acquisition in a virtual world. Previous studies have shown that, although it makes interpretation more lengthy, speakers include more information in their referring expressions than is strictly necessary to identify an object - they overspecify. We aim to study the impact of this kind of overspecification on the acquisition of new lexemes in a foreign language. Our hypothesis is that using overspecified expressions during the practice of recently acquired vocabulary will help learners to better remember the lexemes and to exploit them more efficiently later on. In this paper, we describe an experimental study designed to evaluate this hypothesis, comparing two groups of learners who received overspecified and minimally specified referring expressions while practising newly acquired lexemes in the context of a language learning game in Russian. The game is situated in a virtual environment and the interaction is similar to that of a video game. Our results, based on experimental data from participants' performance as well as a post-experiment questionnaire, support the claim that overspecification improves lexical acquisition rates compared to minimal specification. Some pedagogical suggestions are provided for the design of referring expression generation algorithms in Technology-Enhanced Language Learning (TELL) and Computer Assisted Language Learning (CALL) Systems.
publishDate 2015
dc.date.none.fl_str_mv 2015-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/69335
Luccioni, Alexandra; Benotti, Luciana; Landragin, Frédéric; Overspecified references: An experiment on lexical acquisition in a virtual environment; Elsevier Ltd; Computers in Human Behavior; 49; 8-2015; 94-101
0747-5632
CONICET Digital
CONICET
url http://hdl.handle.net/11336/69335
identifier_str_mv Luccioni, Alexandra; Benotti, Luciana; Landragin, Frédéric; Overspecified references: An experiment on lexical acquisition in a virtual environment; Elsevier Ltd; Computers in Human Behavior; 49; 8-2015; 94-101
0747-5632
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.chb.2015.02.036
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0747563215001454
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Ltd
publisher.none.fl_str_mv Elsevier Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.952241

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