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
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.
New publication from the StatNLP group on Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation appears at ICASSP 2023. The paper is available here.