The Pursuit of Word Meanings

Autor/inn/en	Stevens, Jon Scott; Gleitman, Lila R.; Trueswell, John C.; Yang, Charles
Titel	The Pursuit of Word Meanings
Quelle	In: Cognitive Science, 41 (2017), S.638-676 (39 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0364-0213
DOI	10.1111/cogs.12416
Schlagwörter	Semantics; Associative Learning; Probability; Computational Linguistics; Parent Child Relationship; Models; Vocabulary Development; Language Research; Learning Processes; Regression (Statistics) + Suchen Sie Ihr Suchwort? Semantik; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Linguistics; Computerlinguistik; Parents-child relationship; Parent-child-relation; Parent-child relationship; Eltern-Kind-Beziehung; Analogiemodell; Wortschatzarbeit; Sprachforschung; Learning process; Lernprozess; Regression; Regressionsanalyse
Abstract	We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed "Pursuit," uses an associative learning mechanism to estimate word-referent probability but pursues and tests the best referent-meaning at any given time. "Pursuit" is found to perform as well as global models under many conditions extracted from naturalistic corpora of parent-child interactions, even though the model maintains far less information than global models. Moreover, "Pursuit" is found to best capture human experimental findings from several relevant cross-situational word-learning experiments, including those of Yu and Smith (2007), the paradigm example of a finding believed to support fully global cross-situational models. Implications and limitations of these results are discussed, most notably that the model characterizes only the earliest stages of word learning, when reliance on the co-occurring referent world is at its greatest. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01