NeuroTalk Salon#17:Language processing at multiple timescales
Modeling language processing at multiple timescales
多時間尺度的語言加工
Presenter: Dr. Jixing Li (李吉星)
This talk focuses on language processing in both naturalistic and experimental settings, from a longer narrative to a shorter two-word timescale. The first part of the talk examines referential processing, a phenomenon that highlights long-distance dependency in language processing. Five computational models of pronoun processing were compared against fMRI BOLD signals while both English and Chinese participants listened to a story. The results support a memory-based model that incorporates frequency and recency effects during pronoun resolution. In the second part of the talk, I used controlled experiments to understand a single mental operation–meaning composition. I show a functional dissociation within the left temporal lobe for compositional and distributional semantic processing.
Bio
Dr. Jixing Li is currently a postdoc at the Neuroscience of Language Lab (NeLLab) at New York University Abu Dhabi. She will be joining the Department of Linguistics and Translation and the Department of Social and Behavioural Sciences at City University of Hong Kong as an Assistant Professor in August 2022. Jixing received her PhD in Linguistics from Cornell University in 2019. Her research aims to connect linguistic representations and computations with human neurobiology. She applies advanced statistical and machine learning techniques to test competing psycholinguistic theories against brain data. She has expertise in various neuroimaging techniques, including fMRI, MEG, and EEG, and she integrates theoretical and analytical insights from linguistics, natural language processing (NLP) and cognitive neuroscience in her work.
Moderator:Dr. Fei Gao (高飛)
(CCBS/FAH, University of Macau)
Language: English
Time: 7:00 PM, April 29th (Beijing Time)
Zoom ID: 959 6270 3011
Passcode: ccbs
Acknowledgements
Scan the QR code to sign up as Presenter!
Or contact Mr. Gao Fei ([email protected]) for inquiries.
最新评论
推荐文章
作者最新文章
你可能感兴趣的文章
Copyright Disclaimer: The copyright of contents (including texts, images, videos and audios) posted above belong to the User who shared or the third-party website which the User shared from. If you found your copyright have been infringed, please send a DMCA takedown notice to [email protected]. For more detail of the source, please click on the button "Read Original Post" below. For other communications, please send to [email protected].
版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。
版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。