Generative Adversarial Networks in Neural Machine Translation
■ 03.2017 - 09.2017 ■ Neural Machine Translation ○ NLP ○ Internship: 6 months in Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI, France) ○ Supervisor: Alexandre ALLAUZEN {allauzen@limsi.fr} ○ Technical Keywords: Generative Adversarial Network, Reinforcement Learning, Convolutional Neural Network, Recurrent Neural Network, Python ○ Description: The objective of this project is improving neural machine translation with generative adversarial nets. It is based on the paper "Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets" [Yang et al] (https://arxiv.org/abs/1703.04887) and the framework of NMTPY (https://github.com/lium-lst/nmtpy).