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.

Myle's Work

Myle's Publications

October 31, 2019

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

October 31, 2019

June 10, 2019

RESEARCH

ML APPLICATIONS

Mixture Models for Diverse Machine Translation: Tricks of the Trade

Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato

June 10, 2019

June 03, 2019

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

June 03, 2019

October 30, 2018

RESEARCH

ML APPLICATIONS

Scaling Neural Machine Translation

Myle Ott, Sergey Edunov, David Grangier, Michael Auli

October 30, 2018

October 31, 2018

RESEARCH

ML APPLICATIONS

Understanding Back-Translation at Scale

Sergey Edunov, Myle Ott, Michael Auli, David Grangier

October 31, 2018

October 31, 2018

RESEARCH

ML APPLICATIONS

Phrase-Based & Neural Unsupervised Machine Translation

Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

October 31, 2018

July 13, 2018

RESEARCH

ML APPLICATIONS

Analyzing Uncertainty in Neural Machine Translation

Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato

July 13, 2018

June 01, 2018

RESEARCH

ML APPLICATIONS

Classical Structured Prediction Losses for Sequence to Sequence Learning

Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato

June 01, 2018