词汇
心理学
认知
词汇发展
语言习得
皮博迪图片词汇测试
短时记忆
发展心理学
语言发展
语言学
累加器(密码学)
多语种神经科学
语言能力
认知发展
认知技能
认知心理学
考试(生物学)
纵向数据
词(群论)
购置年龄
蹒跚学步的孩子
纵向研究
心理语言学
按频率列出的单词列表
单词识别
作者
Miranda Gómez Díaz,Laia Fibla,Rachel Ka Ying Tsui,Krista Byers‐Heinlein
摘要
Sometime before their second birthday, many children have a period of rapid expressive vocabulary growth called the vocabulary spurt. Theories of the underlying mechanisms differ: Accumulator models emphasize the accumulation of experience with words over time to yield a spurtlike pattern, while cognitive models attribute the spurt to cognitive changes. To test these theories, English-French monolingual and bilingual children with different exposure to each language were studied. Dense, longitudinal data were analyzed from 45 infants aged 16-30 months, whose expressive vocabulary was measured on a total of 617 occasions in English and/or French. Single-language (English and/or French), concept (number of concepts lexicalized across both languages), and word (sum of both languages) vocabulary scores were computed. Infants' exposure to each language and their exposure balance were measured using a language exposure questionnaire. Logistic curves were fitted to each infant's data to estimate the timing (midpoint) and steepness (slope) of the vocabulary spurt in single-language, concept, and word vocabularies. Seventy-six percent of infants showed a spurt in at least one vocabulary type, and bilinguals were less likely to show one in their nondominant than their dominant language. For single-language vocabulary, infants with more exposure to a language had earlier spurts. For combined vocabularies (concept and word), monolinguals and unbalanced bilinguals had earlier and steeper spurts than balanced bilinguals. Results better support the predictions of accumulator models than cognitive theories and show that infants follow different vocabulary acquisition trajectories based on their language background. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
科研通智能强力驱动
Strongly Powered by AbleSci AI