Hany Hassan

Multi-Source Cross-Lingual Model Transfer: Learning What to Share

2019

Modern NLP applications have enjoyed a great boost utilizing neural networks models. Such deep neural models, however, are not applicable to most human languages due to the lack of annotated training data for various NLP …

Universal Neural Machine Translation for Extremely Low Resource Languages

2018 · arXiv (Cornell University)

In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach to share lexical and sentence level representations …

Achieving Human Parity on Automatic Chinese to English News Translation

2018 · arXiv (Cornell University)

Machine translation has made rapid advances in recent years. Millions of people are using it today in online translation systems and mobile applications in order to communicate across language barriers. The question naturally arises whether …