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 Prud’hommeaux, E.. 2023. An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language. To appear in Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL).
Liu, Z., Spence, J., and Prud’hommeaux, E.. 2023. Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation. In Proceedings of the Annual Meeting of the European Association for Computational Linguistics (EACL), 123–131.
Liu, D., Liu, Z., Yang, Q., Huang, Y., and Prud’hommeaux, E. 2022. Evaluating the Performance of Transformer-based Language Models for Neuroatypical Language. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 3412–3419.
Damiana, R., Homan, C., and Prud’hommeaux, E. 2022. Combining Simple but Novel Data Augmentation Methods for Improving Conformer ASR. In Proceedings of the Annual Conference of the International Speech Communication Association (Interspeech), 4890–489.
Liu, Z. and Prud’hommeaux, E. 2022. Data-driven model generalizability in crosslinguistic low-resource morphological segmentation. Transactions of the Association for Computational Linguistics (TACL) 10:393–413.
Bochner, J., Samar, V., Prud’hommeaux, E., and Huenerfauth, M. 2022. Phoneme Categorization in Prelingually Deaf Adult Cochlear Implant Users. Journal of Speech, Language, and Hearing Research 65(11):4429–4453
Liu, Z., Richardson, C., Hatcher, R. and Prud’hommeaux, E. 2022. Not always about you: Prioritizing community needs when developing endangered language technology. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 3933–3944.