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Tzu-Yun earned her PhD in linguistics from the University of Michigan in 2023. Her main interests lie in sentence processing, cognitive neuroscience, computational modeling and language acquisition. Her recent work tries to understand language processing mechanisms and sources of processing difficulty by establishing the neural and behavioral correlates of online sentence parsing, and simulating the process with large language models (LLM) as well as computational cognitive models. She also investigated the acquisition of phonology, syntax, and reading development in L1 and L2 speakers. To this end, she employed behavioral tasks, EEG experiments, computational modeling and corpus analysis. Tzu-Yun now works as a research associate at the University of Chicago.

Tzu-Yun works at the Computational Neurolinguistics Lab.

More bio in the news: U-M Graduate Student Profile

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Sweden, 2019

[Latest project]

Brennan, J. R., & Tung, T.-Y. (2024). Earlier evoked response for lexical surprisal in L1

            compared to L2 during naturalistic listening. Poster presented at the 16th Annual
            Meeting of the Society for the Neurobiology of Language (SNL2024), Australia,
            October 2024. (abstract)
 

Tung, T.-Y., & Brennan, J. R. (2023). Expectations modulate retrieval interference during                     ellipsis resolution. Neuropsychologia, 108680. (paper)

Tung, T.-Y., & Brennan, J. R. (2023). Modeling memory retrieval during naturalistic                             comprehension. Poster presented at the 15th Annual Meeting of the Society for the                     Neurobiology of Language (SNL2023), France, October 2023. (abstract)

Awards & Fellowships

( 01 )

Education

2017-2023

Ph.D.

Department of Linguistics,

University of Michigan

Dissertation: Prediction and Memory Retrieval in Dependency Resolution

Supervisor: Dr. Jonathan R. Brennan

Committee: Dr. Lisa Levinson, Dr. Richard L. Lewis, Dr. Acrisio Pires

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Michigan, 2019

Education
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Publications

Articles

Tung, T.-Y., & Brennan, J. R. (2023). Expectations modulate retrieval interference during

            ellipsis resolution. Neuropsychologia, 108680. (paper)

 

Lo, C.-W., Tung, T.-Y., Ke, A., & Brennan, J. R. (2022). Hierarchy, not lexical regularity,

            modulates low-frequency neural synchrony during language

            comprehension. Neurobiology of Language, 1-41. (paper)

 

Tung, T.-Y.,Chen, H-J., & Yang, H. (2015). The Error Analysis of “Le” Based on “Chinese 

            Learner Written Corpus”. International Journal of Computational Linguistics and 

            Chinese Language Processing, 20(1), 79-96. (paper)

 

Tung, T.-Y.(2013). Role of Radical and Phonetic Awareness in Chinese Character 

            Acquisition and Reading Development. Proceedings of the 25thNorth American

            Conference on Chinese Linguistics (NACCL).

 

Tung, T.-Y.(2013). Constraints in Chinese Child Phonology: Insights from Vowel 

            Deviation. Proceedings of the 14thNational Conference on Linguistics in 2013 

            (NCL).

Conference Presentations

Brennan, J. R., & Tung, T.-Y. (2024). Earlier evoked response for lexical surprisal in L1

            compared to L2 during naturalistic listening. Poster presented at the 16th Annual
            Meeting of the Society for the Neurobiology of Language (SNL2024), Australia,
            October 2024. (abstract)

Tung, T.-Y., & Brennan, J. R. (2023). Modeling memory retrieval during naturalistic 

           comprehension. Poster presented at the 15th Annual Meeting of the Society for the 

           Neurobiology of Language (SNL2023), France, October 2023. (abstract)

 

Tung, T.-Y., & Brennan, J. R. (2023). Modeling retrieval interference during naturalistic 

           comprehension. Poster presented at the 36th Annual Conference on Human                          Sentence Processing (HSP2023), Pittsburgh, March 2023.

Tung, T.-Y., & Brennan, J. R. (2022). Transformer language models partly predict                          retrieval interference effects. Poster presented at the 14th Annual Meeting of the                  Society for the Neurobiology of Language (SNL2022), Philadelphia, October 2022.            (abstract)

Tung, T.-Y., & Brennan, J. R. (2022). Transformer language models capture some, but not            all, retrieval interference effects. Poster presented at Architectures and Mechanisms            for Language Processing (AMLaP2022), Virtual, September 2022.

Tung, T.-Y., & Brennan, J. R. (2022). Expectations modulate retrieval interference. Poster 

           presented at the 35th Annual Conference on Human Sentence Processing                              (HSP2022), Virtual, March 2022. (poster)

Tung, T.-Y., & Brennan, J. R. (2020). Symmetric retrieval in processing Mandarin                        relative clauses. Poster presented at the 12th Meeting of the Society for the                          Neurobiology of Language (SNL2020), Virtual, October 2020.

Tung, T.-Y.,& Brennan, J. R. (2020). Asymmetric processing of Mandarin relative        

           clauses. Poster presented at the 33rd Annual CUNY Human Sentence Processing                Conference, Amherst, March 2020. (poster & video)

Lo, C.-W.,Tung, T.-Y.,Ke, A., Brennan, J. R. (2019). Cortical tracking of Mandarin 

           structures. Poster presented at the Eleventh Annual Meeting of the Society for the                Neurobiology of Language, Helsinki, August 2019.

Tung, T.-Y.,Chou, C-J., Lee, C-Y. (2017). The Role of Prediction and Working Memory 

           Constraint in the Processing of Chinese Relative Clauses: An ERP Study. Poster 

           presented at the 2017 Annual Meeting of Taiwan Society of Cognitive                 

           Neuroscience, Taoyuan, Taiwan, January 2017.

Tung, T.-Y., Chen, H-J., Pan, I. (2012). The Error Analysis and Teaching of “Le”. Talk 

           presented at the 2ndInternational Conference on Chinese as a Second Language 

           Research (CASLAR), Taipei, Taiwan, August 2012.

Teaching

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Teaching

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Publication

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Awards & Fellowships

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Finland, 2019

Contact

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