时间：16:00 -17:30, 6 October 2021
主办单位：The Language Processing Lab, the Chinese University of Hong Kong
讲座简介：The abilities to produce sophisticated words and complex sentences are hallmarks of language development. Language and literacy outcome is highly associated with language experience, in particular print exposure. Children’s books may provide a unique source for rich and complex language that children cannot otherwise encounter in everyday life. To understand how print exposure supports children’s language and literacy development, we identified linguistic features at the lexical, morphological and syntactic levels and compared the differences in corpora of children’s books and child-directed speech. We found that children’s books, including those targeted at pre-literate children for the purpose of shared reading and those written for children who can independently read, were lexically denser and more diverse, contained more abstract and later acquired words, as well as being more morphologically and syntactically complex than everyday speech that children hear. Written language provides unique linguistic input even in the pre-school years, well before children can read for themselves.
The speaker is currently a British Academy Postdoctoral Fellow at Department of Experimental Psychology and a Junior Research Fellow at Wolfson College in University of Oxford. She completed her Ph.D. in Psychology at University of Wisconsin-Madison.
The speaker is interested in how children learn to read and how humans comprehend and produce language. Broadly speaking, her research focuses on answering the question of "what makes some words and grammatical structures easier to learn and process than others?" We experience words and grammar in our daily language use and exposure to text and speech. Words and sentences appear at different frequency and in different contexts and genres. Yaling Hsiao studies how experience gained through reading and speech shapes how we learn and process words and grammar. She uses a combination of corpus analysis, behavioural methods and computational modelling to answer this question.