Welcome to the Statistical Natural Language Processing Group at the Institute for Computational Linguistics at Heidelberg University. Our research is on the intersection of machine learning and natural language processing, with a special focus on interactive statistical learning techniques. For example, we work on interactive neural machine translation and neural question answering systems, where an artificial intelligence agent learns from human reinforcement/bandit feedback.
We organize the weekly Statistical NLP Colloquium.
Latest news
The monograph is published in the Synthesis Lectures on Human Language Technologies series by Springer. More info
New research from the StatNLP group on Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts will be presented at IWSLT 2023. The paper is available here.