@InProceedings{dalvi-EtAl:2017:EACLDemo,
  author    = {Dalvi, Fahim  and  Zhang, Yifan  and  Khurana, Sameer  and  Durrani, Nadir  and  Sajjad, Hassan  and  Abdelali, Ahmed  and  Mubarak, Hamdy  and  Ali, Ahmed  and  Vogel, Stephan},
  title     = {QCRI Live Speech Translation System},
  booktitle = {Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {61--64},
  abstract  = {This paper presents QCRI’s Arabic-to-English live speech translation system.
	It features modern web technologies to capture live audio, and broadcasts
	Arabic transcriptions and English translations simultaneously. Our Kaldi-based
	ASR system uses the Time Delay Neural Network (TDNN) architecture, while our
	Machine Translation (MT) system uses both phrase-based and neural frameworks.
	Although our neural MT system is slower than the phrase-based system, it
	produces significantly better translations and is memory efficient. The demo is
	available at https://st.qcri.org/demos/livetranslation.},
  url       = {http://aclweb.org/anthology/E17-3016}
}