Computer Science Faculty
Emily Prud'hommeaux
Associate Professor
Emily Prud'hommeaux
Ph.D.
Contact
245 Beacon Street 428E
Telephone: 617-552-3928
Email: emily.prudhommeaux@bc.edu
Education
- B.A. Harvard University
- M.A. University of California, Los Angeles
- Ph.D. Oregon Health & Science University
Research Interests
Natural language processing, speech signal processing, applications of computing for health and accessibility, computational linguistics.
Department
Selected Publications
Jimerson, R., Liu, Z., and聽Prud鈥檋ommeaux, E..聽2023.聽An (unhelpful) guide to selecting聽the best ASR architecture for your under-resourced language. To appear in聽Proceedings of the Annual聽Meeting of the Association for Computational Linguistics (ACL).
Liu, Z., Spence, J., and聽Prud鈥檋ommeaux, E..聽2023.聽Investigating data partitioning strategies for聽crosslinguistic low-resource ASR evaluation.聽In聽Proceedings of the Annual Meeting of the European聽Association for Computational Linguistics (EACL), 123鈥�131.
Liu, D., Liu, Z., Yang, Q., Huang, Y., and聽Prud鈥檋ommeaux, E.聽2022. Evaluating the Performance聽of Transformer-based Language Models for Neuroatypical Language. In聽Proceedings of the 29th International Conference on Computational Linguistics (COLING), 3412鈥�3419.
Damiana, R., Homan, C., and聽Prud鈥檋ommeaux, E.聽2022. Combining Simple but Novel Data Augmentation Methods for Improving Conformer ASR. In聽Proceedings of the Annual Conference of the聽International Speech Communication Association (Interspeech), 4890鈥�489.
Liu, Z. and聽Prud鈥檋ommeaux, E.聽2022.聽Data-driven model generalizability in crosslinguistic low-resource morphological segmentation.聽Transactions of the Association for Computational Linguistics聽(TACL)听10:393鈥�413.
Bochner, J., Samar, V.,聽Prud鈥檋ommeaux, E., and Huenerfauth, M. 2022. Phoneme Categorization in聽Prelingually Deaf Adult Cochlear Implant Users.聽Journal of Speech, Language, and Hearing Researc丑听65(11):4429鈥�4453
Liu, Z., Richardson, C., Hatcher, R. and聽Prud鈥檋ommeaux, E.聽2022. Not always about you: Prioritizing community needs when developing endangered language technology. In聽Proceedings of the 60th聽Annual Meeting of the Association for Computational Linguistics (ACL), 3933鈥�3944.