@InProceedings{lee-shin-kim:2017:EMNLP2017Demos,
  author    = {Lee, Jaesong  and  Shin, Joong-Hwi  and  Kim, Jun-Seok},
  title     = {Interactive Visualization and Manipulation of Attention-based Neural Machine Translation},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {121--126},
  abstract  = {While neural machine translation (NMT) provides high-quality translation, it is
	still hard to interpret and analyze its behavior. We present an interactive
	interface for visualizing and intervening behavior of NMT, specifically
	concentrating on the behavior of beam search mechanism and attention component.
	The tool (1) visualizes search tree and attention and (2) provides interface to
	adjust search tree and attention weight (manually or automatically) at
	real-time. We show the tool gives various methods to understand NMT.},
  url       = {http://www.aclweb.org/anthology/D17-2021}
}