Computation of Semantic Number from Morphological Information

Autor/inn/en	Berent, Iris; Pinker, Steven; Tzelgov, Joseph; Bibi, Uri; Goldfarb, Liat
Titel	Computation of Semantic Number from Morphological Information
Quelle	In: Journal of Memory and Language, 53 (2005) 3, S.342-358 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0749-596X
DOI	10.1016/j.jml.2005.05.002
Schlagwörter	Semantics; Nouns; Word Recognition; Computational Linguistics; Morphology (Languages); Visual Perception; Morphemes; Semitic Languages + Suchen Sie Ihr Suchwort? Semantik; Worterkennung; Linguistics; Computerlinguistik; Morphology; Morphologie; Visuelle Wahrnehmung; Morphem; Arabisch; Hebräisch
Abstract	The distinction between singular and plural enters into linguistic phenomena such as morphology, lexical semantics, and agreement and also must interface with perceptual and conceptual systems that assess numerosity in the world. Three experiments examine the computation of semantic number for singulars and plurals from the morphological properties of visually presented words. In a Stroop-like task, Hebrew speakers were asked to determine the number of words presented on a computer screen (one or two) while ignoring their contents. People took longer to respond if the number of words was incongruent with their morphological number (e.g., they were slower to determine that one word was on the screen if it was plural, and in some conditions, that two words were on the screen if they were singular, compared to neutral letter strings), suggesting that the extraction of number from words is automatic and yields a representation comparable to the one computed by the perceptual system. In many conditions, the effect of number congruency occurred only with plural nouns, not singulars, consistent with the suggestion from linguistics that words lacking a plural affix are not actually singular in their semantics but unmarked for number. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10