Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation

William Lewis, Christian Federmann, Ying Xin. Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation. In Marcello Federico, Sebastian Stüker, Jan Niehues, editors, Proceedings of the 12th International Workshop on Spoken Language Translation: Papers, IWSLT 2015, Da Nang, Vietnam, December 3-4, 2015. 2015. [doi]

@inproceedings{LewisFX15,
  title = {Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation},
  author = {William Lewis and Christian Federmann and Ying Xin},
  year = {2015},
  url = {https://aclanthology.org/2015.iwslt-papers.2},
  researchr = {https://researchr.org/publication/LewisFX15},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 12th International Workshop on Spoken Language Translation: Papers, IWSLT 2015, Da Nang, Vietnam, December 3-4, 2015},
  editor = {Marcello Federico and Sebastian Stüker and Jan Niehues},
}