Computational Linguistics

Computational Linguistics is the scientific study of language from a computational perspective. It is a lively and intellectually vital scientific discipline, generating advances that shed new insight on models of human linguistic abilities, as well as creating opportunities for practical tools that can be of tremendous benefit to society. Computational linguistics faculty and students participate in the interdisciplinary Georgetown University Computational Linguistics (GUCL) community on campus.

The Computational Linguistics program (CPLI) offers both PhD and Master of Science (MS) degrees in Computational Linguistics. These programs carry the STEM-designated 30.4801 CIP code, which means that our international graduates are eligible for 2 additional years of Optional Practical Training (OPT) for a total of 3 years of work authorization in the US.

The MS in Computational Linguistics is a small, selective 2-year program that affords extensive curricular, research, and career opportunities. At Georgetown, all of our CPLI graduate students benefit from:

Doctoral program applicants: While all faculty in the department are available to serve on dissertation committees, only tenured and tenure-line faculty (Nathan Schneider, Ethan Wilcox and Amir Zeldes) can serve as doctoral advisors and dissertation chairs in the Computational Linguistics Program.

Courses: See this page  for an overview of Georgetown’s computation and language courses.

Research labs: Computational research in the department is organized into faculty-led labs with different specializations. Current students who wish to participate in lab research are encouraged to inquire about opportunities.

Corpling Lab (Zeldes) NERT Lab (Schneider) PICoL Lab (Wilcox)

Multilingual, multilayer dataset construction

Discourse structure above the sentence level

Low resource and Digital Humanities applications of NLP

Corpus annotation (syntax and semantics

Linguistic interpretability of LLMs

Legal interpretation with linguistics and AI

Computational models of sentence processing and language acquisition

Pretraining dynamics and interpretability of Large Language Models

Experimental psycholinguistics, including syntactic processing and reading

Computational Linguistics Faculty

Cross-listed Faculty

Affiliated Faculty