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IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots

  • Jinhua DuEmail author
  • Darragh Blake
  • Longyue Wang
  • Clare Conran
  • Declan Mckibben
  • Andy Way
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11053)

Abstract

We showcase IDEA, an Interactive DialoguE trAnslation system using Furhat robots, whose novel contributions are: (i) it is a web service-based application combining translation service, speech recognition service and speech synthesis service; (ii) it is a task-oriented hybrid machine translation system combining statistical and neural machine learning methods for domain-specific named entity (NE) recognition and translation; and (iii) it provides user-friendly interactive interface using Furhat robot with speech input, output, head movement and facial emotions. IDEA is a case-study demo which can efficiently and accurately assist customers and agents in different languages to reach an agreement in a dialogue for the hotel booking.

Keywords

Dialogue translation Furhat robot Entity translation 

Notes

Acknowledgement

We would like to thank the reviewers for their valuable and constructive comments. This research is supported by the ADAPT Centre for Digital Content Technology, funded under the SFI Research Centres Programme (Grant 13/RC/2106), and by SFI Industry Fellowship Programme 2016 (Grant 16/IFB/4490).

Reference

  1. 1.
    Wang, L., Du, J., Li, L., Tu, Z., Way, A., Liu Q.: Semantics-enhanced task-oriented dialogue translation: a case study on hotel booking. In: The Companion Volume of the IJCNLP 2017 Proceedings: System Demonstrations, Taipei, Taiwan, 27 November–1 December , pp. 33–36 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jinhua Du
    • 1
    Email author
  • Darragh Blake
    • 1
  • Longyue Wang
    • 1
  • Clare Conran
    • 1
  • Declan Mckibben
    • 1
  • Andy Way
    • 1
  1. 1.ADAPT Centre, Dublin City UniversityDublinIreland

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