QCRI live speech translation system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages61-64
Number of pages4
ISBN (Electronic)9781510838604
Publication statusPublished - 1 Jan 2017
EventSoftware Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain
Duration: 3 Apr 20177 Apr 2017

Other

OtherSoftware Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
CountrySpain
CityValencia
Period3/4/177/4/17

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ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Cite this

Dalvi, F., Zhang, Y., Khurana, S., Durrani, N., Sajjad, H., Abdelali, A., Mubarak, H., Ali, A., & Vogel, S. (2017). QCRI live speech translation system. In 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations (pp. 61-64). Association for Computational Linguistics (ACL).