@InProceedings{ahrenberg:2017:HiT-IT,
  author    = {Ahrenberg, Lars},
  title     = {Comparing Machine Translation and Human Translation: A Case Study},
  booktitle = {Proceedings of the Workshop Human-Informed Translation and Interpreting Technology},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {Association for Computational Linguistics, Shoumen, Bulgaria},
  pages     = {21--28},
  abstract  = {As machine translation technology improves comparisons to human performance are
	often made in quite general and exaggerated terms. Thus, it is important to be
	able to account for differences accurately. This paper reports a simple,
	descriptive scheme for comparing translations and applies it to two
	translations of a British opinion article published in March, 2017. One is a
	human translation (HT) into Swedish, and the other a machine translation (MT).
	While the comparison is limited to one text, the results are indicative of
	current limitations in MT.},
  url       = {https://doi.org/10.26615/978-954-452-042-7_003}
}