Correlated attributes: Toward a labeling algorithm of complementary categorial features

dc.contributor.authorUriagereka, Juan
dc.date.accessioned2023-09-11T17:23:45Z
dc.date.available2023-09-11T17:23:45Z
dc.date.issued2023-02-21
dc.descriptionPartial funding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.
dc.description.abstractClassical syntactic features are revisited from an algebraic perspective, recalling a traditional argument that the ±N vs. ±V distinction involves correlated, conceptually orthogonal, features, which can be represented in the algebraic format of ±1 vs. ±i complementary elements in a vectorial space. Coupled with natural assumptions about shared information (semiotic) systems, such a space, when presumed within a labeling algorithm, allows us to deduce fundamental properties of the syntax that do not follow from the presumed computation, like core selectional restrictions for lexical categories or their very presupposition in the context of a system of grammatical categories. This article suggests how that fundamental distinction can be coupled with neurophysiological realities, some of which (represented as mathematically real) can be pinpointed into punctual representations, while others (represented as mathematically complex) are, instead, fundamentally distributed. The postulated matrix mechanics amounts to a novel perspective on how to analyze syntactic neurophysiological signals.
dc.description.urihttps://doi.org/10.3389/flang.2023.1107584
dc.identifierhttps://doi.org/10.13016/dspace/lahf-jtre
dc.identifier.citationUriagereka J (2023) Correlated attributes: Toward a labeling algorithm of complementary categorial features. Front. Lang. Sci. 2:1107584.
dc.identifier.urihttp://hdl.handle.net/1903/30454
dc.language.isoen_US
dc.publisherFrontiers
dc.relation.isAvailableAtCollege of Arts & Humanitiesen_us
dc.relation.isAvailableAtLanguages, Literatures, & Culturesen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectcategorical features
dc.subjectmerge
dc.subjectpunctual vs. distributed
dc.subjectmatrices
dc.subjectreal vs. complex entries
dc.titleCorrelated attributes: Toward a labeling algorithm of complementary categorial features
dc.typeArticle
local.equitableAccessSubmissionNo

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