Semantic feature norms : a cross-method and cross-language comparison

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKivisaari, Sasa L.en_US
dc.contributor.authorHultén, Annikaen_US
dc.contributor.authorvan Vliet, Marijnen_US
dc.contributor.authorLindh-Knuutila, Tiinaen_US
dc.contributor.authorSalmelin, Riittaen_US
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.date.accessioned2024-12-17T16:18:53Z
dc.date.available2024-12-17T16:18:53Z
dc.date.issued2024-09en_US
dc.descriptionPublisher Copyright: © 2023, The Author(s).
dc.description.abstractThe ability to assign meaning to perceptual stimuli forms the basis of human behavior and the ability to use language. The meanings of things have primarily been probed using behavioral production norms and corpus-derived statistical methods. However, it is not known to what extent the collection method and the language being probed influence the resulting semantic feature vectors. In this study, we compare behavioral with corpus-based norms, across Finnish and English, using an all-to-all approach. To complete the set of norms required for this study, we present a new set of Finnish behavioral production norms, containing both abstract and concrete concepts. We found that all the norms provide largely similar information about the relationships of concrete objects and allow item-level mapping across norms sets. This validates the use of the corpus-derived norms which are easier to obtain than behavioral norms, which are labor-intensive to collect, for studies that do not depend on subtle differences in meaning between close semantic neighbors.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKivisaari, S L, Hultén, A, van Vliet, M, Lindh-Knuutila, T & Salmelin, R 2024, 'Semantic feature norms : a cross-method and cross-language comparison', Behavior Research Methods, vol. 56, no. 6, pp. 5788–5797. https://doi.org/10.3758/s13428-023-02311-1en
dc.identifier.doi10.3758/s13428-023-02311-1en_US
dc.identifier.issn1554-351X
dc.identifier.issn1554-3528
dc.identifier.otherPURE UUID: 41faa86f-c633-453b-9a50-bbcdb1e3fc90en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/41faa86f-c633-453b-9a50-bbcdb1e3fc90en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85180171396&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/167103572/SCI_Kivisaari_etal_Behavior_Research_Methods.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/132391
dc.identifier.urnURN:NBN:fi:aalto-202412177868
dc.language.isoenen
dc.publisherSpringer
dc.relation.ispartofseriesBehavior Research Methodsen
dc.relation.ispartofseriesVolume 56, issue 6, pp. 5788–5797en
dc.rightsopenAccessen
dc.rightsCC BYen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordBehavioral normsen_US
dc.subject.keywordSemantic featuresen_US
dc.subject.keywordText corporaen_US
dc.titleSemantic feature norms : a cross-method and cross-language comparisonen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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