Skip to main content

The Computational Neurolinguistics Lab

The Computational Neurolinguistics Lab

Dr. Galit Agmon

Welcome to the Computational Neurolinguistics Lab, where we embrace a multidisciplinary approach to studying language. Led by Dr. Agmon, our lab combines machine learning algorithms with linguistic theory and cognitive neuroscience to explore the complexities of speech. Our research spans from understanding speech in healthy individuals to uncovering its changes in neurodegenerative diseases, advancing knowledge at the intersection of language, cognition, and neuroscience.

Our research focus

Neural Processing of Spontaneous Speech

How does our brain navigate through the challenge of "messiness" in speech?

LLMs for Speech Research

Large Language Models as a research tool

The Prosody-Syntax Interface

The musical colors of speech: Is it important for syntactic processing?

Speech in Healthy Aging vs. Neuropathology

How does aging affect speech processing?

Representative Publications

Automatic quantification of syntactic complexity in natural spontaneous speech of people with primary progressive aphasia

Galit Agmon, Sunghye Cho, Sharon Ash, Katheryn AQ Cousins, Kaj Blennow, Henrik Zetterberg, Leslie M Shaw, Sameer Pradhan, Yoon Duk Kim, Mark Y Liberman, David J Irwin, Naomi Nevler , 2025

Automated Measures of Syntactic Complexity in Natural Speech Production: Older and Younger Adults as a Case Study

Galit Agmon, Sameer Pradhan, Sharon Ash, Naomi Nevler, Mark Liberman, Murray Grossman, Sunghye Cho , 2024

“Um..., It’s Really Difficult to... Um... Speak Fluently”: Neural Tracking of Spontaneous Speech

Galit Agmon, Manuela Jaeger, Reut Tsarfaty, Martin G. Bleicher, Elana Zion Golumbic , 2023

Measuring the Cognitive Cost of Downward Monotonicity by Controlling for Negative Polarity

Galit Agmon, Yonatan Loewenstein, Yosef Grodzinsky , 2019

View Selected Publications

Want to join our team? Contact us!