PhD Proposal: Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages
Eleftheria Briakou
Abstract
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Bio
Eleftheria is a fourth-year Ph.D. student in the Department of Computer Science at the University of Maryland, College Park. She is a member of the CLIP lab advised by Marine Carpuat. Eleftheria's research interests are in Multilingual Natural Language Processing (NLP) and machine learning. Her recent work focuses on detecting differences in meaning across languages to improve human and machine translation understanding.
Previously, she was a Research Intern at Facebook AI mentored by Marjan Ghazvininejad during Summer 2021 and at Dataminr mentored by Joel Tetreault during Summer 2020.
This talk is organized by Tom Hurst