Phonetic variation in English infant-directed speech: A large-scale corpus analysis
Phonetic variation in English infant-directed speech: A large-scale corpus analysis
复制标题
DOI:
10.1016/j.wocn.2023.101267
复制
发表时间:
2023-09-01
影响因子:
1.9
通讯作者:
Sundara,Megha
中科院分区:
文献类型:
--
作者:
Khlystova,Ekaterina A.;Chong,Adam J.;Sundara,Megha
Learning sound categories is central to language acquisition – but we know little about the extent of phonetic variability in the learner’s input. In this study, we phonetically annotated coronal segments (/t/, /d/, /s/, /z/, and /n/) in a corpus of naturalistic American English infant-directed speech (IDS). We did not find evidence that IDS is consistently more canonical than adult-directed speech (ADS), challenging the notion of IDS as a learning register. While IDS is not more canonical than ADS overall, the canonical form was nonetheless the most frequent form in IDS for all segments except /t/. We also considered how infants may move beyond the task of identifying the canonical form to how they may learn to cluster allophones; for this purpose, we quantified the dissimilarity in the phonological environments of the variants in question. Lastly, we investigated a case in which the overwhelming majority of instantiations werenotcanonical – word-finaltandd –and demonstrated that morphologically-conditioned suffixes were more canonical than other word final segments. This corpus is a vital step towards understanding how infants can learn to categorize sounds from their input and will be an invaluable tool for future sociolinguistic, computational and theoretical modeling of language learning.