NBC 11Alive
December 2025
“Georgia State study uses AI to better spot depression.”
Televised and online news coverage.
View coverage →Research in the world
Impact
Public-facing research communication: media coverage, keynote and invited talks, conference presentations, and research engineering.
Media spotlight
The Korea Times Atlanta
December 2025
“AI-based research identifies linguistic markers of depression in online communities.”
Coverage of AI-driven mental health research and its social implications. Republished in: The Korea Times Florida (December 2025).
View coverage →Atlanta JoongAng Daily
December 2025
“Georgia State study highlights AI's role in detecting depression through language.”
Korean-language media coverage of AI-based interdisciplinary research.
View coverage →Georgia State University Newsroom
October 2025
“Study: AI Can Spot Signs of Depression in Reddit Posts.”
View coverage →Science X Network (Phys.org)
October 2025
“AI Can Spot Signs of Depression in Reddit Posts.”
View coverage →Keynote & invited talks
Guest speakerNovember 2025
Human versus Machine Language Learning
Special Lecture for the course Language and Mind · Georgia State University, Georgia
KeynoteNovember 2024
Automatic Language Evaluation Using Machine Learning: Integrating LLM with Lexical and Syntactic Features
Linguistics Symposium · University of North Georgia, Georgia
Invited speakerJuly 2024
Research Applications and Possibilities of Natural Language Processing and Machine Learning in the Fields of Linguistics and Education
Korea Association of Multimedia-Assisted Language Learning · Seoul, Korea
Conference record
11 presentations at international and national conferences.
2025
The development of 'ReaL2Chat', a GenAI TBLT chatbot platform: Prompt engineering for tasks designed with communicative goals and effects on learning outcomes
Kim, YJ., Dixon, D., Kim, Y., & Cathey, R.
Computer-Assisted Language Instruction Consortium · San Diego State University, California · May 2025
Task Performance with Generative AI as an Interlocutor: Input Complexity, Task Type, and Student Perceptions
Kim, YJ., Dixon, D., Kim, Y., & Cathey, R.
TBLT Conference · University of Groningen, Netherlands · April 2025
How different is language use across online mental health communities? Machine-learning and corpus-analytic approaches
Kim, Y. & Römer-Barron, U.
American Association for Applied Linguistics · Denver, Colorado · March 2025
Effects of a customized GenAI platform on the writing development of recently immigrated English learners
Kim, YJ., Dixon, D., Kim, Y., & Cathey, R.
American Association for Applied Linguistics · Denver, Colorado · March 2025
Defining “rhetoric” in second language writing contexts: A corpus-based approach
Jordan, J., Dixon, D., & Kim, Y.
American Association for Applied Linguistics · Denver, Colorado · March 2025
2024
Detection and Analysis of Depression-related Language in a Corpus of Online Texts: Machine Learning and Topic Modeling Approaches
Kim, Y. & Römer-Barron, U.
American Association for Corpus Linguistics · Oregon · September 2024
Machine learning insights into L2 development: Tracing Collocation Use Across Proficiency Levels
Kim, Y.
American Association for Corpus Linguistics · Oregon · September 2024
Generative AI for Supporting Recently Immigrated English Learners' L2 Lexical Development: Linguistic Alignment, Lexical Complexity, and Learner Perceptions
Dixon, D., Kim, YJ., & Kim, Y.
Computer-Assisted Language Instruction Consortium · Carnegie Mellon, Pittsburgh, Pennsylvania · May 2024
Distinguishing PTSD from Anxiety Disorders: A Machine Learning Investigation of Linguistic Patterns in Online Mental Health Communities
Kim, Y.
South NLP Symposium · Emory University, Georgia · April 2024
2022
The relationship between POS tag and human judgment-based text readability score
Kim, Y. & Crossley, S.
The Society for Text and Discourse · Georgia · July 2022
Using sentence embeddings to predict text readability: A comparison
Crossley, S., Scherber, Y., Choi, J. S., Lucka, M., & Kim, Y.
The Society for Text and Discourse · Georgia · July 2022
Research engineering
Software built in the course of funded research projects.
May 2024 – May 2025
Generative AI for Supporting Recently Immigrated English Learners' Language Development through Alignment: The Role of Input Complexity and Learner Proficiency
Research on the Challenges of Acquiring Language & Literacy (RCALL) · $48,500
- Developed Generative AI-based human-computer interaction system for language learners
- Implemented Text-to-Speech, Speech-to-Text, and Speech-to-Speech functionalities to enhance human-computer interaction
- Designed and managed data collection and developed NLP scripts for data analysis
August 2023 – December 2023
Generative AI for Supporting Recently Immigrated English Learners' L2 Development through Alignment: The Role of Task Input Complexity and Interaction Modalities
Cambridge English Funded Research Programme (FRP) · £13,000
- Developed GPT-based chatbot designed to help the immigrant population
- Designed NLP scripts for data analysis including measuring lexical sophistication, syntactic complexity, and large-language-model-based semantic alignment
- Developed NLP scripts for collocation and semantic analysis