Natural Language Processing

Natural Language Processing

Natural Language Processing research aims to design algorithms and methods that enable computers to perform human language-related tasks, as well as to use computational methods to improve the scientific understanding of the human capacity for language. Areas of interest at UMD include deep learning, human-in-the-loop machine learning, multilingual text processing and machine translation, summarization, computational psycholinguistics, computational social science, and more. Natural Language Processing research at UMD is highly interdisciplinary, and builds on the intellectual diversity of the Computational Linguistics and Information Processing (CLIP) lab and the UMD Language Science Center.

Associated Faculty

Photo of Jordan Boyd-Graber

Jordan Boyd-Graber

Associate Professor
Photo of Marine Carpuat

Marine Carpuat

Associate Professor
Photo of Hal Daumé III

Hal Daumé III

Volpi-Cupal Family Endowed Professor
Photo of Heng Huang

Heng Huang

Brendan Iribe Endowed Professor
Photo of Rachel Rudinger

Rachel Rudinger

Assistant Professor
Photo of Hanan Samet

Hanan Samet

Distinguished University Professor
Photo of Tianyi Zhou

Tianyi Zhou

Assistant Professor
Photo of Bonnie Dorr

Bonnie Dorr

Professor Emerita
Photo of C. Anton Rytting

C. Anton Rytting

Adjunct Lecturer
Associate Research Scientist, ARLIS
Photo of Naomi Feldman

Naomi Feldman

Affiliate Associate Professor
Photo of Hernisa Kacorri

Hernisa Kacorri

Affiliate Assistant Professor
Photo of Philip Resnik

Philip Resnik

Affiliate Professor
Professor, Department of Linguistics and Institute for Advanced Computer Studies