"Is Decipherment Difficult?"
- When:
- Friday, June 7, 2013, 03:00 pm - 4:00 pm
- Where:
- 11th Floor Conf. Room (#1135)
- Type:
- NL Seminar
- Speaker:
- Malte Nuhn (Aachen University, Germany)
- Description:
Abstract: Is it possible to learn useful translations from large amounts of monolingual data to improve machine translation? The intuitive feeling is that learning a language without bilingual data is at least "more difficult than learning from example translations". In this talk, I will present recent results on decipherment: I will show that the decipherment problem is indeed difficult (NP-hard) and what approximations to the original problem can be made without hurting decipherment accuracy much.
Bio: Having studied Physics and Computer Science at RWTH Aachen University, I'm currently a PhD student at Prof. Ney's Human Language Technology and Pattern Recognition Group in Aachen. I'm particularly interested in applying decipherment techniques to improve machine translation.
Homepage:
http://www-i6.informatik.rwth-aachen.de/~nuhn/
