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Nick Huang
Assistant Professor
Research Interests
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About
Nick Huang is an Assistant Professor at the National University of Singapore. His research focuses on syntactic structures, language morphology, and the nuances of World Englishes. Recent publications include explorations of language phenomena in both English and Mandarin Chinese, addressing topics such as bridge effects and syntactic bootstrapping. His work contributes to a deeper understanding of language processing and cognitive aspects of language use, particularly in multilingual contexts.
Articles (9)
Year:
2025
Year:
2025
INTRODUCTION Patients with Alzheimer's disease present with difficulty in lexical retrieval and reversal of the concreteness effect in nouns. Little is known about the phenomena before the onset of symptoms. We anticipate early linguistic signs in the speech of people who suffer from amnestic mild cognitive impairment (MCI). Here, we report the results of a corpus‐linguistic approach to the early detection of cognitive impairment. METHODS One hundred forty‐eight English‐speaking Singaporeans provided natural speech data, on topics of their choice; 74 were diagnosed with single‐domain MCI (38 amnestic, 36 non‐amnestic), 74 cognitively healthy. The recordings yield 267,310 words, which are tagged for parts of speech. We calculate the per‐minute word counts and concreteness scores of all tagged words, nouns, and verbs in the dataset. RESULTS Compared to controls, subjects with amnestic MCI produce fewer but more abstract nouns. Verbs are not affected. DISCUSSION Slower retrieval of nouns and the reversal of the concreteness effect in nouns are manifested in natural speech and can be detected early through corpus‐based analysis. Highlights Reversal of the concreteness effect is manifested in patients with Alzheimer's disease (AD) and semantic dementia. The paper reports a corpus‐based analysis of natural speech by people with amnestic and non‐amnestic mild cognitive impairment (MCI) and cognitively healthy controls. People with amnestic MCI produce fewer and more abstract nouns than people with non‐amnestic MCI and healthy controls. Verbs appear to be unaffected. The imageability problem can be detected in natural everyday speech by people with amnestic MCI, which carries a higher risk of conversion to AD.
Year:
2024
Year:
2024
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Collaborators (6)
VBY Ooi
Associate Professor
National University of Singapore (NUS)
Valentine Hacquard
Professor
University of Maryland
Colin Phillips
Professor
University of Oxford
Aaron Steven White
Assistant Professor
University of Rochester
Jeffrey Lidz
Professor
University of Maryland
Zhiming Bao
Professor
National University of Singapore (NUS)
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