Simultaneous translation of lectures and speeches |
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Authors: | Christian Fügen Alex Waibel Muntsin Kolss |
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Affiliation: | 1.International Center for Advanced Communication Technologies (InterACT), Fakult?t für Informatik,Universit?t Karlsruhe (TH),Karlsruhe,Germany;2.International Center for Advanced Communication Technologies (InterACT), School of Computer Science,Carnegie Mellon University,Pittsburgh,USA;3.Mobile Technologies LLC,Pittsburgh,USA |
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Abstract: | With increasing globalization, communication across language and cultural boundaries is becoming an essential requirement
of doing business, delivering education, and providing public services. Due to the considerable cost of human translation
services, only a small fraction of text documents and an even smaller percentage of spoken encounters, such as international
meetings and conferences, are translated, with most resorting to the use of a common language (e.g. English) or not taking
place at all. Technology may provide a potentially revolutionary way out if real-time, domain-independent, simultaneous speech
translation can be realized. In this paper, we present a simultaneous speech translation system based on statistical recognition
and translation technology. We discuss the technology, various system improvements and propose mechanisms for user-friendly
delivery of the result. Over extensive component and end-to-end system evaluations and comparisons with human translation
performance, we conclude that machines can already deliver comprehensible simultaneous translation output. Moreover, while
machine performance is affected by recognition errors (and thus can be improved), human performance is limited by the cognitive
challenge of performing the task in real time. |
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Keywords: | Simultaneous translation Interpretation Speech-to-speech translation Spoken language translation Machine translation Speech recognition Lecture recognition Lectures Speeches |
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