Speech, Lexicon and Modeling Lab

Computational linguistics is one of the research foci in the SLAM lab and is led by one of the co-directors Dr. Kevin Tang. Computational linguistics is the study of natural language from a computational perspective. It encompasses both applied (engineering) and theoretical (cognitive) issues, ranging from speech and language technology to formal aspects of theoretical linguistic models. Have you ever wondered how your GPS can pronounce street names and how you can pronounce new words? Have you wondered how Amazon can process billions of reviews? Ever wished to automatically process large corpora (big data), and discover linguistic structures therein? Do you want to model our linguistic intuitions of grammatically? These are all research topics in computational linguistics.

To know more about the work in computational linguistics from our lab, you can check out our courses,  as well as the introductory videos below.

Current graduate students:
Josh Martin, Fenqi Wang, Pamir Gogoi, Shengyu Liao

Learn more by taking our courses

Introduction to Computational Linguistics (LIN4930/6932, every spring):
*** Syllabus for Spring 2021 ***

Student posters in computational linguistics
UF Virtual Student Research Symposium on Computational Linguistics

Some of these student class projects were accepted into academic conferences

• Bill Dyer, Daniele Basalone & Atharva Chopde. Wolof Universal Dependency Parsing. Accepted at 2021 ACAL (Annual Conference on African Linguistics), University of Florida.
• Alejandro Lopez, Hae Won Kim, Monae McKinney, Kevin Tang. Reducing Racial Bias in Word Embeddings with Counterfactual Data Augmentation. Accepted at the 2021 Annual Meeting of the Linguistic Society of America.