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

Assistant Professor
Photo of Hal Daumé III

Hal Daumé III

Professor
Photo of Naomi Feldman

Naomi Feldman

Affiliate Associate Professor
Photo of Hernisa Kacorri

Hernisa Kacorri

Affiliate Assistant Professor