@InProceedings{simianer-karimova-riezler:2016:COLINGDEMO,
  author    = {Simianer, Patrick  and  Karimova, Sariya  and  Riezler, Stefan},
  title     = {A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {16--20},
  abstract  = {Adaptive machine translation (MT) systems are a promising approach for
	improving the effectiveness of computer-aided translation (CAT) environments.
	There is, however, virtually only theoretical work that examines how such a
	system could be implemented. We present an open source post-editing interface
	for adaptive statistical MT, which has in-depth monitoring capabilities and
	excellent expandability, and can facilitate practical studies. To this end, we
	designed text-based and graphical post-editing interfaces. The graphical
	interface offers means for displaying and editing a rich view of the MT output.
	Our translation systems may learn from post-edits using several weight,
	language model and novel translation model adaptation techniques, in part by
	exploiting the output of the graphical interface. In a user study we show that
	using the proposed interface and adaptation methods, reductions in technical
	effort and time can be achieved.},
  url       = {http://aclweb.org/anthology/C16-2004}
}