I am a third year Ph.D. student in the Johns Hopkins Computer Science department affiliated with the Center for Language and Speech Processing. I am currently a visiting Ph.D. student at the Center for Information and Language Processing at Ludwig-Maximilians-Universität München supported by a Fulbright Fellowship under the supervision of Hinrich Schütze. I am coadvised by Jason Eisner and David Yarowsky. I specialize in Computational Linguistics and Machine Learning, focusing on statistical approaches to phonology and morphology. On a lighter note, I'm a big fan of the passive voice. Outside of the university I spend a lot of time reading modern German-language literature; Thomas Mann, Hermann Hesse and Max Frisch are favorites.Details: CV Google Scholar Semantic Scholar
My research interests lie in statistical approaches to phonology and morphology. I am a staunch empiricist and believe in modeling linguistic data as they are in an atheoretic manner. My current research involves building graphical models over strings using weighted finite-state transducers to infer underlying phonological forms. I also work on unsupervised morphology induction using very large corpora, focusing on heavily inflected languages (fusional and agglutinative). Beyond these two projects, I am interested in experimental phonology and modeling experimental data. In the past, I worked with Chris Callison-Burch on using crowdsourcing to improve Arabic dialect identification.
- Automata and Computation Theory (600.271) - Teaching Assistant - Spring 2014
- Natural Language Processing (600.465) - Teaching Assistant - Fall 2013
John Sylak-Glassman and Ryan Cotterell. Contrastive Morphological Typology and Logical Hierarchies. Chicago Linguistic Society. 2016.
Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey and Sanjeev Khudanpur. Translation of the CALLHOME Egyptian Arabic Corpus For Conversational Speech Translation. IWSLT. 2014. [pdf]
Ryan Cotterell, Adithya Renduchintala, Naomi Saphra, and Chris Callison-Burch. An Algerian Arabic-French Code-Switched Corpus. LREC Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools. 2014. [pdf] [data]
David Etter, Francis Ferraro, Ryan Cotterell, Olivia Buzek, and Benjamin Van Durme. Nerit: Named Entity Recognition for Informal Text. Technical Report 11. HLTCOE, Johns Hopkins University. July, 2013. [pdf]
Johns Hopkins University
Sometimes I create flashcards to aid the learning process. I've provided a few for download.