معرفی
Ethan Gotlieb Wilcox is an Assistant Professor in the Department of Linguistics at Georgetown University's College. His research focuses on computational mechanisms underlying language processing and learning in both humans and AI systems. He investigates questions such as the features of human learning algorithms enabling rapid language acquisition, universal aspects of language processing across languages, and unique human language use in the AI age. Prior to Georgetown, he was an ETH Postdoctoral Fellow at ETH Zurich. He holds a PhD in Linguistics from Harvard University (2022) and a BA in Symbolic Systems and Slavic Languages & Literatures from Stanford University (2015).
Education:
- PhD in Linguistics, Harvard University, 2022
- BA in Symbolic Systems and Slavic Languages & Literatures, Stanford University, 2015
Research Interests: Wilcox explores computational linguistics, psycholinguistics, and the intersection of AI with language learning. His work delves into syntactic learnability, prosodic typology, and the development of tools like MoTR (Mouse Tracking for Reading) to measure incremental language processing. He leads the BabyLM Challenge, focusing on sample-efficient language models inspired by developmental corpora.
Key trends in his articles include crosslinguistic studies of language learning, prosody-text redundancy, and evaluating models' humanlike behavior through frameworks like SyntaxGym. His work bridges cognitive science and computational methods, emphasizing empirical validation of linguistic theories.
Awards: No awards explicitly mentioned.
Advising & Grants: No formal advisees or grants listed in provided texts. His research is funded through institutional and conference initiatives like the BabyLM Challenge.
Labs & Tools: Co-developer of Mouse Tracking for Reading (MoTR), an open-source tool for studying real-time language processing, and SyntaxGym, an online platform for targeted language model evaluation.
