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J-GLOBAL ID:201702274093410302   Reference number:17A0009604

アルツハイマーの発症に伴う代名詞の増加

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Volume: 2016  Issue: UBI-51  Page: Vol.2016-UBI-51,No.13,1-7 (WEB ONLY)  Publication year: Jul. 28, 2016 
JST Material Number: U0451A  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Neurologic diagnosis  ,  Natural language processing  ,  Artificial intelligence 
Reference (11):
  • Roark, B., M. Mitchell, and K. Hollingshead. Syntactic complexity measures for detecting mild cognitive impairment. in Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing. 2007. Association for Computational Linguistics.
  • Aramaki, E., et al., Vocabulary Size in Speech May Be an Early Indicator of Cognitive Impairment. PLoS One, 2016. 11(5): p. e0155195.
  • Tanaka, H., et al., <Automatic Detection of Very Early Stage of Dementia through Spoken Dialog with Computer Avatars.pdf>, in International Conference of the IEEE Engineering in Medicine and Biology Society. 2016.
  • Konig, A., et al., Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease. Alzheimers Dement (Amst), 2015. 1(1): p. 112-24.
  • T?th, L., et al. Automatic detection of mild cognitive impairment from spontaneous speech using ASR. 2015. ISCA.
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