Statistical Natural Language Processing GroupWelcome to the Statistical Natural Language Processing Group at the Institute for Computational Linguistics at Heidelberg University. Our research addresses various aspects of the problem of the confusion of languages, by means of interactive statistical learning techniques, for example, learning from human reinforcement/bandit feedback.
We organize the weekly Statistical NLP Colloquium.
Launching our blog
- We entered the blogosphere with the StatNLP HD Blog. Our posts will focus on pitfalls in methodologies, recent advances and important problems in our field of research.
New DFG-funded project on Interactive Lecture Translation
A new research project on auto-adaptive learning from weak feedback for interactive machine lecture translation will soon start. The project attempts to learn machine translation from bandit feedback in form of judgements on the quality of a predicted translation without requiring a post-edit or a gold-standard translation. The application scenario is the translation of university lectures, a focus which is shared with parallel projects at RWTH Aachen, KIT Karlsruhe, and the University of the Saarland, Saarbrücken.
- Prof. Dr. Stefan Riezler (group leader)
- Julian Hitschler, B.A.
- Laura Jehl, M.Sc.
- Sariya Karimova, M.A.
- Julia Kreutzer, M.A.
- Tsz Kin Lam, M.Sc.
- Carolin Lawrence, M.A.
- Shigehiko Schamoni, M.A.
- Michael Staniek, B.A.
- Dr. Felix Hieber, Machine Learning Scientist at Amazon, Berlin.
- Dr. Katharina Wäschle, Research Scientist at Fraunhofer Institute, Freiburg.
- Prof. Dr. Artem Sokolov, Machine Learning Scientist at Amazon, Berlin and Honorary Professor at Heidelberg University.
- Mayumi Ohta, M.A., Research Scientist at Nuance, Aachen.
- Dr. Patrick Simianer, Research Scientist at Lilt.