Predicting What MT is Good for: User Judgements and Task Performance

Kathryn Taylor, John White. Predicting What MT is Good for: User Judgements and Task Performance. In David Farwell, Laurie Gerber, Eduard H. Hovy, editors, Machine Translation and the Information Soup, Third Conference of the Association for Machine Translation in the Americas, AMTA 98, Langhorne, PA, USA, October 28-31, 1998, Proceedings. Volume 1529 of Lecture Notes in Computer Science, pages 364-373, Springer, 1998. [doi]

@inproceedings{TaylorW98,
  title = {Predicting What MT is Good for: User Judgements and Task Performance},
  author = {Kathryn Taylor and John White},
  year = {1998},
  url = {http://link.springer.de/link/service/series/0558/bibs/1529/15290364.htm},
  researchr = {https://researchr.org/publication/TaylorW98},
  cites = {0},
  citedby = {0},
  pages = {364-373},
  booktitle = {Machine Translation and the Information Soup, Third Conference of the Association for Machine Translation in the Americas, AMTA  98, Langhorne, PA, USA, October 28-31, 1998, Proceedings},
  editor = {David Farwell and Laurie Gerber and Eduard H. Hovy},
  volume = {1529},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-65259-0},
}