Neural Network Representations for Language – Spring/Summer/Fall 2017

Members of the Spoken Language Systems Group are engaged in long term research to understand how neural networks learn human language. Current research areas are neural machine translation and speech recognition. The goal is to improve our understanding of deep learning models, as well as develop novel models. We are looking for a UROP who can help with designing and running experiments, collecting and processing data, or improving our existing pipelines.

Programming experience is a must. Knowledge and/or interest in machine learning, language, and speech processing is a plus.

Please contact: Yonatan Belinkov ( (with CV if available).