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.

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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.



Ryan Cotterell, Hinrich Schütze and Jason Eisner. Morphological Smoothing and Extrapolation of Word Embeddings. ACL. 2016. [pdf]

Ryan Cotterell, Tim Vieira and Hinrich Schütze. A Joint Model of Orthography and Morphological Segmentation. NAACL. 2016. [pdf] (Runner-up for Best Paper)

Pushpendre Rastogi, Ryan Cotterell and Jason Eisner. Weighting Finite-State Transductions With Neural Context. NAACL. 2016. [pdf] [code]

John Sylak-Glassman and Ryan Cotterell. Contrastive Morphological Typology and Logical Hierarchies. Chicago Linguistic Society. 2016.

Nanyun Peng, Ryan Cotterell and Jason Eisner. Dual Decomposition for Graphical Models over Strings. EMNLP. 2015. [pdf]

Thomas Müller, Ryan Cotterell, Alexander Fraser and Hinrich Schütze. Joint Lemmatization and Morphological Tagging with Lemming. EMNLP. 2015. [pdf] (Runner-up for Best Paper)

Ryan Cotterell, Thomas Müller, Alexander Fraser and Hinrich Schütze. Labeled Morphological Segmentation with Semi-Markov Models. CoNLL. 2015. [pdf] [poster] [website]

Ryan Cotterell, Nanyun Peng, and Jason Eisner. Modeling Word Forms Using Latent Underlying Morphs and Phonology. TACL. 2015. [pdf]

Ryan Cotterell and Jason Eisner. Penalized Expectation Propagation for Graphical Models over Strings. NAACL. 2015. [pdf]

Ryan Cotterell and Hinrich Schütze. Morphological Word Embeddings. NAACL. 2015. [pdf]

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, Nanyun Peng, and Jason Eisner. Stochastic Contextual Edit Distance and Probabilistic FSTs. ACL. 2014. [pdf] [poster] [code]

Ryan Cotterell and Chris Callison-Burch. A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. LREC. 2014. [pdf] [data]

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

Ph.D. in Computer Science
Advisors: Jason Eisner and David Yarowsky

Bachelor of Arts in Cognitive Science
Minor: Linguistics
Advisor: Colin Wilson
May 2013


Sometimes I create flashcards to aid the learning process. I've provided a few for download.

Last change: October 12th, 2015
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