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dc.contributor.authorMoscati, Vincenzo
dc.contributor.authorMarini, Andrea
dc.contributor.authorBiondo, Nicoletta
dc.date.accessioned2023-12-20T09:27:59Z
dc.date.available2023-12-20T09:27:59Z
dc.date.issued2023
dc.identifier.citationMoscati V, Marini A, Biondo N. What a thousand children tell us about grammatical complexity and working memory: A cross-sectional analysis on the comprehension of clitics and passives in Italian. Applied Psycholinguistics. 2023;44(6):1161-1184. doi:10.1017/S0142716423000462es_ES
dc.identifier.citationApplied Psycholinguistics
dc.identifier.issn0142-7164
dc.identifier.urihttp://hdl.handle.net/10810/63434
dc.descriptionPublished online: 28 November 2023es_ES
dc.description.abstractData from 996 Italian-speaking children were collected and analyzed to assess whether a movement-based notion of grammatical complexity is adequate to capture the developmental trend of clitics and passives in Italian. A second goal of the study was to address the relationship between working memory and syntactic development, exploring the hypothesis that higher digit span values predict better comprehension of complex matrix sentences. The results confirm the validity of a ranking of grammatical structures based on constituent movement, with both clitics and passives developing in parallel and later than canonical SVO sentences. Working memory also shows an effect on sentence comprehension in general, but standard measures (digit span forward/backward) do not show a selective advantage in handling complex constructions such as clitics and passives.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectWorking memoryes_ES
dc.subjectgrammatical developmentes_ES
dc.subjectsentence comprehensiones_ES
dc.subjectsyntactic movementes_ES
dc.titleWhat a thousand children tell us about grammatical complexity and working memory: A cross-sectional analysis on the comprehension of clitics and passives in Italianes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.es_ES
dc.relation.publisherversionhttps://www.cambridge.org/core/journals/applied-psycholinguisticses_ES
dc.identifier.doi10.1017/S0142716423000462


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