no code implementations • ACL 2021 • Ann Lee, Michael Auli, Marc{'}Aurelio Ranzato
Reranking models enable the integration of rich features to select a better output hypothesis within an n-best list or lattice.
1 code implementation • IJCNLP 2019 • Francisco Guzm{\'a}n, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc{'}Aurelio Ranzato
For machine translation, a vast majority of language pairs in the world are considered low-resource because they have little parallel data available.
no code implementations • EMNLP 2018 • Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc{'}Aurelio Ranzato
Machine translation systems achieve near human-level performance on some languages, yet their effectiveness strongly relies on the availability of large amounts of parallel sentences, which hinders their applicability to the majority of language pairs.