Affiliation: Extended faculty in the PhD program in Computing and Information Science
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, 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. IEEE Spoken Language Technology Workshop (SLT).
Masoud Rouhizadeh, Emily Prud'hommeaux, Jan van Santen, and Richard Sproat. 2014. Detecting linguistic idiosyncratic interests in autism using distributional semantic models. In Proceedings of the ACL 2014 Workshop on Computational Linguistics and Clinical Psychology (CLPsych).
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).
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).
Emily Prud'hommeaux and Brian Roark. 2012. Graph-based alignment of narratives for automated neuropsychological assessment. In Proceedings of the NAACL 2012 Workshop on Biomedical Natural Language Processing (BioNLP).