CLASIC Capstone Projects Showcase
CLASIC students investigate a wide variety of questions for their CAPSTONE projects, developed through internships or faculty-supervised research.



Mitchell Allen (2023) "DLT2: Dating Latin Texts with Deep Learning Techniques"
Sean von Bayern (2025) "Golden Retrievers: Fetching Expert Curriculum Knowledge to Enhance Pedagogical Agents"
Alexis Cooper (2025) "Tree-Planted Translation for Free-Order, Case-Marking Languages"
Alvin Chen (2025) "Effects of Collaboration on the Performance of Interactive Theme Discovery Systems"
Ray Groshan (2025) "Is linguistically-motivated data augmentation worthwhile?"
Zilong Li (2025) "Modeling Native Chinese Speakers’ Acquisition of Japanese Kanji Pronunciation"
Luna Peck (2025) "ConEm: Learning Embedded Concept Representations from LLMs"
Reece Suchocki (2023) "SCI 3.0: A Web-based Graphical Interface for Schematic Event Curation"
Mike Wang (2025) "MAMORX: Multi-agent Multi-Modal Scientific Review Generation with External Knowledge"