Yi-Chien Lin

Yi-Chien Lin

依蒨

I am a third-year Ph.D. student in the Department of Linguistics at the Ohio State University, working with William Schuler and Michael White. My research interests lie in the computational modeling of human sentence processing and natural language structures. I am specifically interested in adopting cognitively/linguistically motivated methods in studying these areas. You can reach me at: lin.4434@osu.edu (lin DOT 4434 AT osu DOT edu).

Some non-academic information about me: I was born and raised in Taiwan. I grew up in Hsinchu, a windy city where bangs and umbrellas don't function properly. I'm a huge boba lover and I'm always interested in learning about good boba places!

Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly

Yi-Chien Lin and William Schuler
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026.
@inproceedings{lin2026surprisal,
  title     = {Surprisal from Larger Transformer-based Language Models Predicts {fMRI} Data More Poorly},
  author    = {Lin, Yi-Chien and Schuler, William},
  booktitle = {Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages     = {179--186},
  year      = {2026},
  address   = {Rabat, Morocco},
  publisher = {Association for Computational Linguistics}
}

Vectors from Larger Language Models Predict Human Reading Time and fMRI Data More Poorly When Dimensionality Expansion Is Controlled

Yi-Chien Lin, Hongao Zhu, and William Schuler
arXiv preprint arXiv:2505.12196
@article{lin2025vectors,
  title   = {Vectors from Larger Language Models Predict Human Reading Time and {fMRI} Data More Poorly When Dimensionality Expansion Is Controlled},
  author  = {Lin, Yi-Chien and Zhu, Hongao and Schuler, William},
  journal = {arXiv preprint arXiv:2505.12196},
  year    = {2025}
}

OSU CompLing at the GEM'24 Data-to-Text Task

Alyssa Allen, Ashley Lewis, Yi-Chien Lin, Tomiris Kaumenova, and Michael White
Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges, 2024.
@inproceedings{allen2024osu,
  title     = {{OSU} {C}omp{L}ing at the {GEM}{'}24 Data-to-Text Task},
  author    = {Allen, Alyssa and Lewis, Ashley and Lin, Yi-Chien and Kaumenova, Tomiris and White, Michael},
  booktitle = {Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges},
  pages     = {100--111},
  year      = {2024},
  address   = {Tokyo, Japan},
  publisher = {Association for Computational Linguistics}
}
View all publications →
2026
Vectors from Larger Language Models Predict Human Sentence Processing More Poorly when Dimensionality is Controlled — Poster presentation at the 39th Annual Conference on Human Sentence Processing · Abstract
2026
Vectors from Larger Language Models Predict Human Sentence Processing Data More Poorly — Poster presentation at the 2026 LSA Annual Meeting
2019
The Asymmetry between ziji and ta-ziji in Mandarin: An Empirical Investigation — Poster presentation at the 2nd International Conference on Theoretical East Asian Psycholinguistics
2026 Fall
Graduate Teaching Associate (Instructor of Record) · LING 3801: Codes and Codebreaking · The Ohio State University
Sep. 2022 – Mar. 2023
Mentor · Project: Treebanking Linguistic Corpora · Linguistics Undergraduate Research Apprenticeship Program (LURAP) · University of Washington
Jan. – Jun. 2020
Teaching Assistant · FL422000: Sentence Processing Experiments · National Tsing Hua University
May – Aug. 2026
Summer Graduate Research Award · The Ohio State University · Center for Cognitive and Brain Sciences
2023 – 2024
Distinguished University Fellowship · The Ohio State University
2018
Academic Achievement Award · National Tsing Hua University
2026

Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly

Yi-Chien Lin and William Schuler
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026.
@inproceedings{lin2026surprisal,
  title     = {Surprisal from Larger Transformer-based Language Models Predicts {fMRI} Data More Poorly},
  author    = {Lin, Yi-Chien and Schuler, William},
  booktitle = {Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages     = {179--186},
  year      = {2026},
  address   = {Rabat, Morocco},
  publisher = {Association for Computational Linguistics}
}
2025

Vectors from Larger Language Models Predict Human Reading Time and fMRI Data More Poorly When Dimensionality Expansion Is Controlled

Yi-Chien Lin, Hongao Zhu, and William Schuler
arXiv preprint arXiv:2505.12196
@article{lin2025vectors,
  title   = {Vectors from Larger Language Models Predict Human Reading Time and {fMRI} Data More Poorly When Dimensionality Expansion Is Controlled},
  author  = {Lin, Yi-Chien and Zhu, Hongao and Schuler, William},
  journal = {arXiv preprint arXiv:2505.12196},
  year    = {2025}
}
2024

OSU CompLing at the GEM'24 Data-to-Text Task

Alyssa Allen, Ashley Lewis, Yi-Chien Lin, Tomiris Kaumenova, and Michael White
Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges, 2024.
@inproceedings{allen2024osu,
  title     = {{OSU} {C}omp{L}ing at the {GEM}{'}24 Data-to-Text Task},
  author    = {Allen, Alyssa and Lewis, Ashley and Lin, Yi-Chien and Kaumenova, Tomiris and White, Michael},
  booktitle = {Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges},
  pages     = {100--111},
  year      = {2024},
  address   = {Tokyo, Japan},
  publisher = {Association for Computational Linguistics}
}
2021

Automatic Extraction of English Grammar Pattern Correction Rules

Kuan-Yu Shen, Yi-Chien Lin, and Jason S. Chang
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), 2021.
@inproceedings{shen2021automatic,
  title     = {Automatic Extraction of {English} Grammar Pattern Correction Rules},
  author    = {Shen, Kuan-Yu and Lin, Yi-Chien and Chang, Jason S.},
  booktitle = {Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)},
  pages     = {252--256},
  year      = {2021}
}

Learning to Find Translation of Grammar Patterns in Parallel Corpus

Kai-Wen Tuan, Yi-Jyun Chen, Yi-Chien Lin, Chun-Ho Kwok, Hai-Lun Tu, and Jason S. Chang
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), 2021.
@inproceedings{tuan2021learning,
  title     = {Learning to Find Translation of Grammar Patterns in Parallel Corpus},
  author    = {Tuan, Kai-Wen and Chen, Yi-Jyun and Lin, Yi-Chien and Kwok, Chun-Ho and Tu, Hai-Lun and Chang, Jason S.},
  booktitle = {Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)},
  pages     = {301--309},
  year      = {2021}
}
2020

ConSenses: Disambiguating Content Word Groups Based on Knowledge Base and Definition Embedding

Kai-Wen Tuan, Yi-Chien Lin, Jason S. Chang, Kuan-Lin Lee, and Li-Kuang Chen
2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2020.
@inproceedings{tuan2020consenses,
  title     = {{ConSenses}: Disambiguating Content Word Groups Based on Knowledge Base and Definition Embedding},
  author    = {Tuan, Kai-Wen and Lin, Yi-Chien and Chang, Jason S. and Lee, Kuan-Lin and Chen, Li-Kuang},
  booktitle = {2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)},
  pages     = {260--265},
  year      = {2020},
  publisher = {IEEE}
}
2019

標註英中同步樣式文法之研究 (Annotating Synchronous Grammar Patterns across English and Chinese)

Ching-Yu Helen Yang, Ying-Zhu Chen, Jason S. Chang, Yi-Chien Lin, and Wei-Tien Dylan Tsai
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019), 2019.
@inproceedings{yang2019annotating,
  title     = {標註英中同步樣式文法之研究 ({Annotating Synchronous Grammar Patterns across English and Chinese})},
  author    = {Yang, Ching-Yu Helen and Chen, Ying-Zhu and Chang, Jason S. and Lin, Yi-Chien and Tsai, Wei-Tien Dylan},
  booktitle = {Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)},
  pages     = {424--433},
  year      = {2019},
  address   = {New Taipei City, Taiwan},
  publisher = {The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)}
}
Aug. 2023 – Present

Ph.D. in Computational Linguistics — The Ohio State University

Advisors: William Schuler and Michael White

Sep. 2021 – Jun. 2023

M.S. in Computational Linguistics — University of Washington

Thesis: Automatically Inferring Grammar Specifications for Valence-changing Verbal Morphology from Interlinear Glossed Text

Advisor: Emily M. Bender

Sep. 2015 – Jun. 2020

B.A. in Foreign Languages and Literature — National Tsing Hua University

Aug. 2024 – Present

Graduate Research Assistant

Department of Linguistics · The Ohio State University · Columbus, OH

Jul. 2020 – Jul. 2021

Research Assistant

Natural Language Processing Lab · National Tsing Hua University · Hsinchu, Taiwan

Jul. 2019 – Jun. 2020

Linguistic Intern

Natural Language Processing Lab · National Tsing Hua University · Hsinchu, Taiwan

Jan. – Jun. 2019

Linguistic Intern

Glossika · Taipei, Taiwan

Download Full CV (PDF)