@inproceedings{1aaeba86f3c64bd78df300742041b24d,
title = "QCRI live speech translation system",
abstract = "We present QCRI's Arabic-to-English 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 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.1.",
author = "Fahim Dalvi and Yifan Zhang and Sameer Khurana and Nadir Durrani and Hassan Sajjad and Ahmed Abdeleli and Hamdy Mubarak and Ahmed Ali and Stephan Vogel",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computational Linguistics.; Software Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 ; Conference date: 03-04-2017 Through 07-04-2017",
year = "2017",
doi = "10.18653/v1/e17-3016",
language = "English",
series = "15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations",
publisher = "Association for Computational Linguistics (ACL)",
pages = "61--64",
editor = "Anselmo Penas and Andre Martins",
booktitle = "15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations",
address = "United States",
}