National Council of Scientific and Technical Research (CIIPME-CONICET) University of Buenos Aires.
National Council of Scientific and Technical Research (CIIPME-CONICET) University of 3 de Febrero.
J Child Lang. 2022 Jul;49(4):799-823. doi: 10.1017/S030500092100043X. Epub 2021 Aug 19.
The study adopts a naturalistic perspective, looking at the relationship between socio-economic status (SES), activities and variation sets in child-directed speech (CDS) to Spanish-speaking Argentinian toddlers. It aims to determine the effect of SES and type of activity on the proportion of words and utterances in variation sets and on the pragmatic function they serve in interaction. Thirty two children (mean: 14.3 months) and their families were audio-recorded for four hours and the middle two hours were analyzed using CLAN. We developed an automatic algorithm for variation sets extraction that compares noun, verb and adjective lexemes in successive utterances. Mixed-effects beta regression showed SES and activity type effects on the proportion of variation sets and on the pragmatic function served by variation sets. Findings revealed that the contextual variables considered impact on how interlocutors organize the information to young children at the local level of natural at home interactions.
本研究采用自然主义视角,考察社会经济地位(SES)、活动和儿童指向性言语(CDS)中的变项集之间的关系,以研究西班牙语的阿根廷幼儿。旨在确定 SES 和活动类型对变项集中单词和话语比例的影响,以及它们在互动中所起的语用功能。对 32 名儿童(平均 14.3 个月)及其家庭进行了四个小时的录音,然后使用 CLAN 对中间两个小时进行了分析。我们开发了一种自动算法来提取变项集,该算法比较连续话语中的名词、动词和形容词词素。混合效应β回归显示 SES 和活动类型对变项集比例以及变项集所服务的语用功能有影响。研究结果表明,所考虑的语境变量会影响对话者如何在家庭环境中的本地互动层面上向幼儿组织信息。