Title | ||
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"Can you give me another word for hyperbaric?": Improving speech translation using targeted clarification questions. |
Abstract | ||
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We present a novel approach for improving communication success between users of speech-to-speech translation systems by automatically detecting errors in the output of automatic speech recognition (ASR) and statistical machine translation (SMT) systems. Our approach initiates system-driven targeted clarification about errorful regions in user input and repairs them given user responses. Our system has been evaluated by unbiased subjects in live mode, and results show improved success of communication between users of the system. |
Year | DOI | Venue |
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2013 | 10.1109/ICASSP.2013.6639302 | ICASSP |
Keywords | Field | DocType |
language translation,speech recognition,ASR,SMT systems,automatic speech recognition,automatically detecting errors,hyperbaric,speech-to-speech translation systems,statistical machine translation,system-driven targeted clarification,targeted clarification questions,Speech translation,error correction,error detection,spoken dialog systems | Speech corpus,Rule-based machine translation,Spoken dialog systems,Language translation,Speech analytics,Computer science,Word error rate,Machine translation,Speech recognition,Natural language processing,Artificial intelligence,Speech translation | Conference |
ISSN | Citations | PageRank |
1520-6149 | 13 | 0.66 |
References | Authors | |
21 | 15 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luke S. Zettlemoyer | 1 | 3348 | 163.34 |
Arindam Mandal | 2 | 13 | 0.66 |
Michael Frandsen | 3 | 39 | 3.74 |
Jing Zheng | 4 | 442 | 43.00 |
Peter Blasco | 5 | 13 | 0.66 |
Andreas Kathol | 6 | 13 | 0.66 |
Frederic Bechet | 7 | 13 | 0.66 |
Benoit Favre | 8 | 13 | 0.66 |
Alex Marin | 9 | 13 | 0.66 |
Tom Kwiatkowski | 10 | 13 | 0.66 |
Mari Ostendorf | 11 | 13 | 0.66 |
Luke Zettlemoyer | 12 | 13 | 0.66 |
Philipp Salletmayr | 13 | 13 | 0.66 |
Julia Hirschberg | 14 | 2982 | 448.62 |
Svetlana Stoyanchev | 15 | 13 | 0.66 |