Guillaume Lample
Guillaume joined Facebook AI Research as a resident PhD student in August 2016. He's advised by Marc’Aurelio Ranzato (Facebook) and Ludovic Denoyer (UPMC/LIP6). He also graduated from Carnegie Mellon University in 2016, where he was working under the supervision of Chris Dyer. Before that, Guillaume received a bachelor's and master's degree in mathematics from École Polytechnique.
Guillaume's Publications
October 31, 2019
RESEARCH
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English
For machine translation, a vast majority of language pairs in the world are considered low-resource because they have little parallel data available…
Guillaume Lample, Francisco (Paco) Guzman, Peng-Jen Chen, Myle Ott, Juan Pino, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
October 31, 2019
May 06, 2019
RESEARCH
Multiple-Attribute Text Rewriting
The dominant approach to unsupervised "style transfer" in text is based on the idea of learning a latent representation, which is independent of the attributes specifying its "style"…
Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau
May 06, 2019
October 31, 2018
RESEARCH
Phrase-Based & Neural Unsupervised Machine Translation
Machine translation systems achieve near human-level performance on some languages, yet their effectiveness strongly relies on the availability of large amounts of bitexts, which hinders their applicability to the majority of language pairs…
Guillaume Lample, Myle Ott, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer
October 31, 2018
