Research

Broadly speaking, members of the ILST community are interested in understanding how humans represent, acquire, produce and comprehend language. They are also interested in the development of natural language technologies, for use within the data sciences, artificial intelligence and robotics.

Affiliated Departments and Ph.D. Programs

• Computer and Information Science
• Linguistics
• Neuroscience
• Philosophy
• Psychology

Affiliated Labs and Research Teams

Psycholinguistics and Neuroscience of Language

• ChatLab (PI: Chatterjee)
• Child Language and Learning Lab (PI: Schuler)
• Cultural Evolution of Language Lab (PI: Roberts)
• Dahan Lab in Psycholinguistics (PI: Dahan)
• Experimental Study of Meaning Lab (PI: Schwarz)
• Infant Language Lab (PI: Swingley)
• Language and Cognition Lab (PI: Papafragou)
• Laboratory for Cognition and Neural Stimulation (PI: Hamilton)
• Language Acquisition and Processing Lab (PIs: Trueswell and Gleitman)
• Language Variation and Cognition Lab (PI: Tamminga)
• Penn Phonetics Lab (PIs: Kuang and Liberman) 
• Thompson-Schill Lab in Cognitive Neuroscience (PI: Thompson-Schill)

Computational Linguistics and Natural Language Technologies

• Callison-Burch Lab in computational linguistics (PI: Callison-Burch)
• Linguistics Data Consortium (Director: Mark Liberman)
• Marcus Lab in computaiontal linguistics and natural language processsing (PI: Marcus)
• Nenkova Lab in text analysis, discourse and text sumarization (PI: Nenkova)
• Roth Lab in machine learning and inference methods for natural language understanding (PI: Dan Roth)