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IDEA: an interactive dialogue translation demo system using Furhat robots

Du, Jinhua orcid logoORCID: 0000-0002-3267-4881, Blake, Darragh, Wang, Longyue orcid logoORCID: 0000-0002-9062-6183, Conran, Clare, McKibben, Declan and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2019) IDEA: an interactive dialogue translation demo system using Furhat robots. In: European Conference, ECML PKDD 2018, 10–14 Sept 2018, Dublin, Ireland. ISBN 978-3-030-10996-7

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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Dialogue translation; Furhat robot; Entity translation
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Machine Learning and Knowledge Discovery in Databases, Part 3. Lecture Notes in Computer Science 11053. Springer. ISBN 978-3-030-10996-7
Publisher:Springer
Official URL:https://doi.org/10.1007/978-3-030-10997-4_43
Copyright Information:© 2018 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:SFI Research Centres Programme (Grant 13/RC/2106), SFI Industry Fellowship Programme 2016 (Grant 16/IFB/4490)
ID Code:23202
Deposited On:25 Apr 2019 11:02 by Thomas Murtagh . Last Modified 25 Apr 2019 11:02
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