Yaling Hsiao
Postdoctoral Research Associate
- Research Associate funded by the Leverhulme Trust
I am a postdoctoral research associate working with Prof. Kate Nation. I use corpus data to inform our understanding on how children learn to read. We are interested in knowing how statistical properties of words children are exposed to have an influence on how they learn to recognize the words. Before coming to Oxford, I conducted my Ph.D. study at University of Wisconsin-Madison, focusing on studying the processes of language production and comprehension, using a variety of behavioral and computational methods. My broad research interests cover the area of first and second language learning and processing, neural network modeling, corpus analyses, cross-linguistic comparisons.
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Production predicts comprehension: Animacy effects in Mandarin relative clause processing
Hsiao Y. and MacDonald MC., (2016), Journal of Memory and Language, 89, 87 - 109
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Agent-patient similarity affects sentence structure in language production: evidence from subject omissions in Mandarin
Hsiao Y. et al, (2014), Frontiers in Psychology, 5
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Experience and generalization in a connectionist model of Mandarin Chinese relative clause processing
Hsiao Y. and MacDonald MC., (2013), Frontiers in Psychology, 4
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Dissociation between visual attention and visual mental imagery
Thompson WL. et al, (2011), Journal of Cognitive Psychology, 23, 256 - 263
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Learning that classifiers count: Mandarin-speaking children’s acquisition of sortal and mensural classifiers
Li P. et al, (2010), Journal of East Asian Linguistics, 19, 207 - 230