Improving Neural Machine Translation through Interlingua
Event details
| Date | 03.09.2018 |
| Hour | 11:00 › 13:00 |
| Speaker | Aswin Suresh |
| Location | |
| Category | Conferences - Seminars |
EDIC candidacy exam
Exam president: Prof. Boi Faltings
Thesis advisor: Prof. Matthias Grossglauser
Co-examiner: Prof. Martin Jaggi
Abstract
Background papers
Neural machine translation by jointly learning to align and translate, by Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio. ICLR 2015.
Word translation without parallel data, by Conneau, Alexis, et al. ICLR 2018.
Efficient non-parametric estimation of multiple embeddings per word in vector space, by Neelakantan, Arvind, et al. EMNLP 2014
Exam president: Prof. Boi Faltings
Thesis advisor: Prof. Matthias Grossglauser
Co-examiner: Prof. Martin Jaggi
Abstract
Background papers
Neural machine translation by jointly learning to align and translate, by Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio. ICLR 2015.
Word translation without parallel data, by Conneau, Alexis, et al. ICLR 2018.
Efficient non-parametric estimation of multiple embeddings per word in vector space, by Neelakantan, Arvind, et al. EMNLP 2014
Practical information
- General public
- Free
Contact
- EDIC - [email protected]