Tatsuya Aoyama (青山達也)

Ph.D. Student, Georgetown University

ta571 [AT] georgetown.edu

Bio

I am currently a 3rd year Ph.D. student in Computational Linguistics at Georgetown University, where I belong to GUCL and NERT. Under the supervision of Nathan Schneider and Amir Zeldes, I am currently working on research projects on classifying Japanese adpositional supersense using Semantic Network of Adposition and Case Supersenses (SNACS), and on expanding rhetorical structure theory (RST) by creating and examining an anchored RST corpus.

Broadly, my research interests lie in using statistical and computational approahces to study various linguistic phenomena, especially ones that involve non-native English texts. For example, 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).

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 (but 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.

Publications

Most recent publications on Google Scholar.

  • All
  • NLP
  • SLA
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)

2020

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Unpublished M.A. Thesis

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)

2020

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

2020

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

Teaching

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

Talks and slides

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

Experience

  • Posh Technologies, Inc. Summer 2022
    NLP Research Intern
  • Money Forward, Inc. Summer 2021
    NLP Engineer Intern
  • Georgetown University 2020 - now (exp. 2025)
    Ph.D. in Computational Linguistics
    Advised by Nathan Schneider and Amir Zeldes
  • Center for Applied Linguistics Summer 2019
    Research Intern
  • Michigan State University 2018 - 2020
    M.A. in Teaching English to Speakers of Other Languages (TESOL)
    Advised by Sandra Deshors and Kristen Johnson
  • Soka University of America 2014 - 2018
    B.A. in Liberal Arts
    Advised by Tomoko Takahashi

Acknowledgement

This website uses the website design and template by Martin Saveski