Myle Ott
New York City, United States
Myle Ott is a Research Engineer in Facebook’s AI Research group (FAIR), focusing on projects in dialogue, machine translation and text generation. Prior to Facebook, Myle completed his PhD at Cornell University in their NLP group, where his research explored approaches for identifying deception and sentiment in social media text.
Research Areas
Myle's Work
Myle's Publications
RESEARCH
ML APPLICATIONS
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English
Francisco (Paco) Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
RESEARCH
ML APPLICATIONS
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
RESEARCH
ML APPLICATIONS
FAIRSEQ: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
RESEARCH
ML APPLICATIONS
Scaling Neural Machine Translation
Myle Ott, Sergey Edunov, David Grangier, Michael Auli
RESEARCH
ML APPLICATIONS
Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, Michael Auli, David Grangier
RESEARCH
ML APPLICATIONS
Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
RESEARCH
ML APPLICATIONS
Analyzing Uncertainty in Neural Machine Translation
Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
RESEARCH
ML APPLICATIONS
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
