27 - What do Neural Machine Translation Models Learn about Morphology?, with Yonatan Belinkov

ACL 2017 paper by Yonatan Belinkov and others at MIT and QCRI.
Yonatan comes on to tell us about their work. They trained a neural
MT system, then learned models on top of the NMT representation
layers to do morphology tasks, trying to probe how much
morphological information is encoded by the MT system. We talk
about the specifics of their model and experiments, insights they
got from doing these experiments, and how this work relates to
other work on representation learning in NLP.
https://www.semanticscholar.org/paper/What-do-Neural-Machine-Translation-Models-Learn-ab-Belinkov-Durrani/37ac87ccea1cc9c78a0921693dd3321246e5ef07