FAIR’s Next-Generation Unsupervised Machine Translation: Simpler Models, Better Performance
Selected from arXiv Authors: Guillaume Lample et al. Translation by Machine Heart Contributors: Zhang Qian, Lu Recently, researchers from FAIR proposed two variants of machine translation models, one being a neural model and the other based on phrases. The researchers combined two recently proposed unsupervised methods, simplifying the structure and loss functions, resulting in a … Read more