@InProceedings{wang-EtAl:2016:WAT2016,
  author    = {Wang, Xiaolin  and  Finch, Andrew  and  Utiyama, Masao  and  Sumita, Eiichiro},
  title     = {An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation},
  booktitle = {Proceedings of the 3rd Workshop on Asian Translation (WAT2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {139--148},
  abstract  = {Simultaneous interpretation is a very challenging application of machine
	translation in which the input is a stream of words from a speech recognition
	engine. The key problem is how to segment the stream in an online manner into
	units suitable for translation. The segmentation process proceeds by
	calculating  a confidence score for each word that indicates the soundness of
	placing a sentence boundary after it, and then heuristics are employed to
	determine the position of the boundaries. Multiple variants of the confidence
	scoring method and segmentation heuristics were studied. Experimental results
	show that the best performing strategy is not only efficient in terms of
	average latency per word, but also achieved end-to-end translation quality
	close to an offline baseline, and close to oracle segmentation.},
  url       = {http://aclweb.org/anthology/W16-4613}
}