Extended faculty in the Computing and Information Science PhD program
Co-director of the Computational Linguistics and Speech Processing (CLASP)
Research interests: Natural language processing, computational linguistics, applications of NLP for diagnosing neurological disorders, word alignment, language modeling, machine translation.
Selected recent publications:
Emily Prud'hommeaux and Brian Roark. In press. Graph-based word alignment for clinical language evaluation. To appear in Computational Linguistics.
Masoud Rouhizadeh, Emily Prud'hommeaux, Jan van Santen, and Richard Sproat. 2015. Measuring idiosyncratic interests in children with autism. Proceedings of 53rd Annual Meeting of the Association for Computational Linguistics (ACL), 212-217.
Preethi Vaidyanathan, Emily Prud'hommeaux, Cecilia O. Alm, Jeff B. Pelz, and Anne R. Haake. 2015. Alignment of eye movements and spoken language for semantic image understanding. In Proceedings of the International Workshop on Computational Semantics (IWCS), 76-81.
Emily Prud'hommeaux, Eric Morley, Masoud Rouhizadeh, Laura Silverman, Jan van Santen, Brian Roark, Sarah Kauper, Rachel DeLaHunta. 2014. Computational analysis of trajectories of linguistic development in autism. In Proceedings of IEEE Spoken Language Technology Workshop (SLT), 266-271.
Eriņç Dikici, Emily Prud’hommeaux, Brian Roark, Murat Saraçlar. 2013. Investigation of MT-based ASR Confusion Models for Semi-Supervised Discriminative Language Modeling. In Proceedings of the 13th Annual Conference of the International Speech Communication Association (Interspeech), 1217-1221.
Maider Lehr, Izhak Shafran, Emily Prud'hommeaux and Brian Roark. 2013. Discriminative joint modeling of lexical variation and acoustic confusion for automated narrative retelling assessment. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), 211-220.