The NESPOLE! speech-to-speech translation system

Alon Lavie, Lori Levin, Robert Frederking, Fabio Pianesi


Abstract
NESPOLE! is a speech-to-speech machine translation research system designed to provide fully functional speech-to-speech capabilities within real-world settings of common users involved in e-commerce applications. The project is funded jointly by the European Commission and the US NSF. The NESPOLE! system uses a client-server architecture to allow a common user, who is browsing web-pages on the internet, to connect seamlessly in real-time to an agent of the service provider, using a video-conferencing channel and with speech-to-speech translation services mediating the conversation. Shared web pages and annotated images supported via a Whiteboard application are available to enhance the communication.
Anthology ID:
2002.amta-systems.7
Volume:
Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: System Descriptions
Month:
October 8-12
Year:
2002
Address:
Tiburon, USA
Venue:
AMTA
SIG:
Publisher:
Springer
Note:
Pages:
240–243
Language:
URL:
https://link.springer.com/chapter/10.1007/3-540-45820-4_28
DOI:
Bibkey:
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PDF:
https://link.springer.com/chapter/10.1007/3-540-45820-4_28