I am currently a 3rd year Ph.D. student in Computational Linguistics at Georgetown University, where I belong to GUCL, NERT, and Corpling. Broadly, my research interests lie in using statistical and computational approahces to study various linguistic phenomena, especially ones that involve non-native English. In particular, I am interested in what language models know (and how we know what they know), and how we can use them to better understand (second) langauge acquisition. For example, I recently worked on comparing native and non-native Englishes in an embedding space using a pretrained large langauge model, and on applying a behavioral approach to a layer-wise probing study of BERT.
Currently, I am working on developing a novel approach to Combinatory Categorial Grammar (CCG) supertagging with Nathan Schneider, and on expanding rhetorical structure theory (RST) by creating and examining an anchored RST corpus with Amir Zeldes.
Prior to joining Georgetown, I obtained a B.A. in Liberal Arts from Soka University of America, where my main focus was Psychology and Economics (although I wrote my thesis on a topic related to Second Language Acquisition!). Subsequently, I pursued an M.A. in Teaching English to Speakers of Other Languages (TESOL) at Michigan State University, where I was co-advised by Sandra Deshors and Kristen Johnson. My M.A. thesis focused on quantifying how Chinese and Japanese speakers' use of the English articles deviates from that of native speakers, leveraging a modeling technique called Multifactorial Prediction and Deviation Analysis with Regressions (MuPDAR).
Most recent publications on Google Scholar.
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation. PDF
Tatsuya Aoyama, Shabnam Behzad, Luke Gessler, Lauren Levine, Jessica Lin, Yang Janet Liu, Siyao Peng, Yilun Zhu and Amir Zeldes
The 17th Linguistic Annotation Workshop (LAW-XVII), Association for Computational Linguistics (ACL) 2023
Corpus-Based Investigation of the Markedness and Frequency of Japanese Passives in Contemporary Written Japanese. PDF
Tatsuya Aoyama
Society for Computation in Linguistics (SCiL) 2023
Comparing Native and Learner Englishes Using a Large Pre-trained Language Model. PDF
Tatsuya Aoyama
11th Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) workshop 2022
Probe-Less Probing of BERT’s Layer-Wise Linguistic Knowledge with Masked Word Prediction. PDF
Tatsuya Aoyama, Nathan Schneider
North American Chapter of the Association for Computational Linguistics Student Research Workshop (NAACL-SRW 2022)
Revisiting Layer-Wise Linguistic Knowledge with Masked Word Prediction.
Tatsuya Aoyama, Nathan Schneider
Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL 2022)
International Students’ Willingness to Communicate in English as a Second Language : Effects of L2 Self-Confidence, Acculturation, and Motivational Types PDF
Tatsuya Aoyama, Tomoko Takahashi
Journal of International Students 10(3)
A Corpus-based Multifactorial Analysis of Japanese and Chinese Speakers’ English Article Use : Quantifying the Deviation Using MuPDAR PDF
Tatsuya Aoyama
Unpublished M.A. Thesis
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation. PDF
Tatsuya Aoyama, Shabnam Behzad, Luke Gessler, Lauren Levine, Jessica Lin, Yang Janet Liu, Siyao Peng, Yilun Zhu and Amir Zeldes
The 17th Linguistic Annotation Workshop (LAW-XVII), Association for Computational Linguistics (ACL) 2023
Corpus-Based Investigation of the Markedness and Frequency of Japanese Passives in Contemporary Written Japanese. PDF
Tatsuya Aoyama
Society for Computation in Linguistics (SCiL) 2023
Comparing Native and Learner Englishes Using a Large Pre-trained Language Model. PDF
Tatsuya Aoyama
11th Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) workshop 2022
Probe-Less Probing of BERT’s Layer-Wise Linguistic Knowledge with Masked Word Prediction. PDF
Tatsuya Aoyama, Nathan Schneider
North American Chapter of the Association for Computational Linguistics Student Research Workshop (NAACL-SRW 2022)
Revisiting Layer-Wise Linguistic Knowledge with Masked Word Prediction.
Tatsuya Aoyama, Nathan Schneider
Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL 2022)
A Corpus-based Multifactorial Analysis of Japanese and Chinese Speakers’ English Article Use : Quantifying the Deviation Using MuPDAR PDF
Tatsuya Aoyama
Unpublished M.A. Thesis
Comparing Native and Learner Englishes Using a Large Pre-trained Language Model. PDF
Tatsuya Aoyama
11th Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) workshop 2022
International Students’ Willingness to Communicate in English as a Second Language : Effects of L2 Self-Confidence, Acculturation, and Motivational Types PDF
Tatsuya Aoyama, Tomoko Takahashi
Journal of International Students 10(3)
A Corpus-based Multifactorial Analysis of Japanese and Chinese Speakers’ English Article Use : Quantifying the Deviation Using MuPDAR PDF
Tatsuya Aoyama
Unpublished M.A. Thesis
LING/COSC-572 (Spring 2023): Empirical Methods in Natural Language Processing
LING-001 (Fall 2021, Spring 2022): Introduction to Language
JPN-102 (Spring 2019): Elementary Japanese II
JPN-101 ( Fall 2018, Fall 2019): Elementary Japanese I
Second Language Research Forum (SLRF 2020) (October 2020): A Corpus-based Multifactorial Analysis of Japanese and Chinese Learners’ English Article Use : Quantifying theDeviation using MuPDAR
The Asian Conference on Language (ACL 2020) (March 2020): Japanese ESL Students’ Willingness to Communicate in English : The Effects of L2 Self-Confidence, Acculturation, and Motivational Types
MSU LLT 860 Guest Lecture (February 2020): Universal Grammar and Second Language Acquisition
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