Is There a Bilingual Disadvantage for Word Segmentation? A Computational Modeling Approach

Autor/inn/en	Fibla, Laia; Sebastian-Gales, Nuria; Cristia, Alejandrina
Titel	Is There a Bilingual Disadvantage for Word Segmentation? A Computational Modeling Approach
Quelle	In: Journal of Child Language, 49 (2022) 6, S.1119-1146 (28 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Fibla, Laia)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0305-0009
DOI	10.1017/S0305000921000568
Schlagwörter	Bilingualism; Monolingualism; Young Children; Spanish; English; Mathematics; Indo European Languages; Phonemes; Phonology + Suchen Sie Ihr Suchwort? Bilingualismus; Frühe Kindheit; Spanisch; English language; Englisch; Mathematik; Indoeuropäisch; Fonem; Fonologie
Abstract	Since there are no systematic pauses delimiting words in speech, the problem of word segmentation is formidable even for monolingual infants. We use computational modeling to assess whether word segmentation is substantially harder in a bilingual than a monolingual setting. Seven algorithms representing different cognitive approaches to segmentation are applied to transcriptions of naturalistic input to young children, carefully processed to generate perfectly matched monolingual and bilingual corpora. We vary the overlap in phonology and lexicon experienced by modeling exposure to languages that are more similar (Catalan and Spanish) or more different (English and Spanish). We find that the greatest variation in performance is due to different segmentation algorithms and the second greatest to language, with bilingualism having effects that are smaller than both algorithm and language effects. Implications of these computational results for experimental and modeling approaches to language acquisition are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01