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Monorama Swain is a Visiting Researcher at the University of Copenhagen, specializing in Natural Language Processing (NLP). Her research interests include multilingual speech recognition and mitigating performance disparities in this area. She has contributed to the proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing with a significant paper titled 'Mitigating Performance Disparities Multilingual Speech Recognition'. She is dedicated to advancing the understanding of NLP systems and enhancing the accessibility and effectiveness of speech recognition technologies across different languages. Her work emphasizes practical applications of NLP, focusing on optimizing service usage and information delivery through advanced algorithms and techniques in the field.
University of Copenhagen • Copenhagen
Conducting research in Natural Language Processing and multilingual speech recognition.
Focuses on clinical, social, and cognitive psychology.