Saliency-driven Word Alignment Interpretation for Neural Machine Translation

Shuoyang Ding, Hainan Xu, Philipp Koehn. Saliency-driven Word Alignment Interpretation for Neural Machine Translation. In Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Matt Post, Marco Turchi, Karin Verspoor, editors, Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 1: Research Papers. pages 1-12, Association for Computational Linguistics, 2019. [doi]

@inproceedings{DingXK19,
  title = {Saliency-driven Word Alignment Interpretation for Neural Machine Translation},
  author = {Shuoyang Ding and Hainan Xu and Philipp Koehn},
  year = {2019},
  url = {https://www.aclweb.org/anthology/W19-5201/},
  researchr = {https://researchr.org/publication/DingXK19},
  cites = {0},
  citedby = {0},
  pages = {1-12},
  booktitle = {Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 1: Research Papers},
  editor = {Ondrej Bojar and Rajen Chatterjee and Christian Federmann and Mark Fishel and Yvette Graham and Barry Haddow and Matthias Huck and Antonio Jimeno-Yepes and Philipp Koehn and André Martins and Christof Monz and Matteo Negri and Aurélie Névéol and Mariana L. Neves and Matt Post and Marco Turchi and Karin Verspoor},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-27-7},
}