Faculty Directory

Feldman, Naomi

Feldman, Naomi

Associate Professor, Linguistics and UMIACS
Linguistics
College of Arts & Humanities
Computer Science
Brain and Behavior Institute
1413A Marie Mount Hall
Website(s):

Naomi Feldman is an associate professor in the Department of Linguistics and the Institute of Advanced Computer Studies at the University of Maryland, and a member of the computational linguistics and information processing lab. She works primarily on computational models of human language, using techniques from machine learning and statistics to formalize models of how people learn and process language. She received her Ph.D. in cognitive science at Brown University in 2011.

  • Computational psycholinguistics
  • Speech perception
  • Language acquisition

How Do Infants Learn Sounds in Their Native Language?

UMD-affiliated computational linguists published groundbreaking research that examines how infants learn what the sounds of their native language are.

CLIP Researchers Create Computational Models to Explore How Adults Learn New Languages

A team of researchers are using computational modeling to investigate learning mechanisms that can help listeners adapt their speech perception of a new language.

A Computational Approach to Understanding How Infants Perceive Language

New PNAS paper simulates and compares how Japanese- and English-learning infants discriminate speech sounds

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