Publications
Publication details [#4185]
Lavie, Alon, Lori Levin, Robert Frederking and Fabio Pianesi. 2002. The NESPOLE! speech-to-speech translation system. In Richardson, Stephen D., ed. Machine Translation: from research to real users (Lecture Notes in Computer Science 2499). Cham: Springer. pp. 240–243.
Publication type
Article in jnl/bk
Publication language
English
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.
Source : Bitra