I am now a research associate at the National Research Council of Canada. Before that, I was a computer science graduate student in the Center for Language and Speech Processing (CLSP) at Johns Hopkins University, where I was advised by Philipp Koehn and Mark Dredze. I have also served as the site coordinator for the North American Computational Linguistics Olympiad (NACLO) at JHU (see the JHU NACLO website for site-specific information).
As my publications list here may eventually become outdated, new works are likely to be updated at my google scholar page.
rknowle2 at alumni.jh.edu
On the Stability of System Rankings at WMT, Rebecca Knowles, Sixth Conference on Machine Translation (WMT21). [pdf, bib, code]
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021, Rebecca Knowles and Samuel Larkin, Sixth Conference on Machine Translation (WMT21). [pdf]
Like Chalk and Cheese? On the Effects of Translationese in MT Training, Samuel Larkin, Michel Simard, Rebecca Knowles, Machine Translation Summit XVIII, 2021. [pdf, bib]
NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task, Rebecca Knowles, Darlene Stewart, Samuel Larkin, Patrick Littell, First Workshop on Natural Language Processing for Indigenous Languages of the Americas, 2021. [pdf, bib]
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software, Roland Kuhn, Fineen Davis, Alain Désilets, Eric Joanis, Anna Kazantseva, Rebecca Knowles, Patrick Littell, Delaney Lothian, Aidan Pine, Caroline Running Wolf, Eddie Santos, Darlene Stewart, Gilles Boulianne, Vishwa Gupta, Brian Maracle Owennatékha, Akwiratékha’ Martin, Christopher Cox, Marie-Odile Junker, Olivia Sammons, Delasie Torkornoo, Nathan Thanyehténhas Brinklow, Sara Child, Benoît Farley, David Huggins-Daines, Daisy Rosenblum, Heather Souter, 28th International Conference on Computational Linguistics (COLING), 2020. [pdf, bib]
NRC Systems for the 2020 Inuktitut-English News Translation Task, Rebecca Knowles, Darlene Stewart, Samuel Larkin, Patrick Littell, Fifth Conference on Machine Translation (WMT), 2020. [pdf, bib]
NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications, Rebecca Knowles, Samuel Larkin, Darlene Stewart, Patrick Littell, Fifth Conference on Machine Translation (WMT), 2020. [pdf, bib]
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization, Graham Neubig, Shruti Rijhwani, Alexis Palmer, Jordan MacKenzie, Hilaria Cruz, Xinjian Li, Matthew Lee, Aditi Chaudhary, Luke Gessler, Steven Abney, Shirley Anugrah Hayati, Antonios Anastasopoulos, Olga Zamaraeva, Emily Prud’hommeaux, Jennette Child, Sara Child, Rebecca Knowles, Sarah Moeller, Jeffrey Micher, Yiyuan Li, Sydney Zink, Mengzhou Xia, Roshan S Sharma, Patrick Littell, 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL), 2020. [pdf, bib]
The Nunavut Hansard Inuktitut–English Parallel Corpus 3.0 with Preliminary Machine Translation Results, Eric Joanis, Rebecca Knowles, Roland Kuhn, Samuel Larkin, Patrick Littell, Chi-kiu Lo, Darlene Stewart, Jeffrey Micher, 12th Language Resources and Evaluation Conference (LREC), 2020. [pdf, bib]
Interactive and Adaptive Neural Machine Translation, Rebecca Knowles, Ph.D. Dissertation, 2019. [pdf, bib, uri]
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation, Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn, Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019. [pdf, bib]
A User Study of Neural Interactive Translation Prediction, Rebecca Knowles, Marina Sanchez-Torron, and Philipp Koehn, Machine Translation Journal Special Issue on Human Factors in Neural Machine Translation, 2019. [pdf, bib]
An Interactive Teaching Tool for Introducing Novices to Machine Translation, Huda Khayrallah, Rebecca Knowles, Kevin Duh, and Matt Post, Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE), 2019. [pdf, bib, code & demo]
Context and Copying in Neural Machine Translation, Rebecca Knowles and Philipp Koehn, Conference on Empirical Methods in Natural Language Processing, 2018. [pdf, bib]
Document-Level Adaptation for Neural Machine Translation, Sachith Sri Ram Kothur, Rebecca Knowles and Philipp Koehn, 2nd Workshop on Neural Machine Translation and Generation (WNMT at ACL), 2018. [pdf, bib]
Lightweight Word-Level Confidence Estimation for Neural Interactive Translation Prediction, Rebecca Knowles and Philipp Koehn, Translation Quality Estimation and Automatic Post-Editing Workshop (at AMTA), 2018. [pdf, bib, slides]
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair, Rebecca Knowles, John E. Ortega, and Philipp Koehn, Translation Quality Estimation and Automatic Post-Editing Workshop (at AMTA), 2018. [pdf, bib, slides]
Six Challenges for Neural Machine Translation, Philipp Koehn and Rebecca Knowles, Proceedings of the First Workshop on Neural Machine Translation (WNMT at ACL), 2017. [pdf, bib]
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax, Christo Kirov, John Sylak-Glassman, Rebecca Knowles, Ryan Cotterell, and Matt Post, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2017. [pdf, bib]
Neural Interactive Translation Prediction, Rebecca Knowles and Philipp Koehn, Proceedings of the Conference of the Association for Machine Translation in the Americas (AMTA), 2016. [pdf, bib, slides]
Demographer: Extremely Simple Name Demographics, Rebecca Knowles, Josh Carroll, and Mark Dredze, EMNLP Workshop on Natural Language Processing and Computational Social Science, 2016. [pdf, bib]
Analyzing Learner Understanding of Novel L2 Vocabulary, Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, and Jason Eisner, Conference on Computational Natural Language Learning (CoNLL), 2016. [pdf, bib, slides]
User Modeling in Language Learning with Macaronic Texts, Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner, Annual Meeting of the Association for Computational Linguistics (ACL), 2016. [pdf, bib]
Creating Interactive Macaronic Interfaces for Language Learning, Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner, System Description, Annual Meeting of the Association for Computational Linguistics (ACL), 2016. [pdf, bib]
High Risk Pregnancy Prediction from Clinical Text, Rebecca Knowles, Mark Dredze, Kathleen Evans, Elyse Lasser, Tom Richards, Jonathan Weiner, and Hadi Kharrazi, Workshop on Machine Learning for Clinical Data Analysis (at NIPS), 2014.[pdf, bib]
I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes, Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell and Benjamin Van Durme, Annual Meeting of the Association for Computational Linguistics (ACL), 2014. [pdf, bib]
Topic Models and Metadata for Visualizing Text Corpora, Justin Snyder, Rebecca Knowles, Mark Dredze, Matthew R. Gormley and Travis Wolfe, North American Chapter of the Association for Computational Linguistics (NAACL) (Demo Paper), 2013. [pdf, bib]
This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1232825. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.