Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015

@article{Sajjad2016EgyptianAT,
  title={Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015},
  author={Hassan Sajjad and Nadir Durrani and Francisco Guzm{\'a}n and Preslav Nakov and Ahmed Abdelali and Stephan Vogel and Wael Salloum and Ahmed El Kholy and Nizar Habash},
  journal={CoRR},
  year={2016},
  volume={abs/1606.05759}
}
The paper describes the Egyptian Arabic-to-English statistical machine translation (SMT) system that the QCRI-Columbia-NYUAD (QCN) group submitted to the NIST OpenMT'2015 competition. The competition focused on informal dialectal Arabic, as used in SMS, chat, and speech. Thus, our efforts focused on processing and standardizing Arabic, e.g., using tools… CONTINUE READING