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» Learning Rules to Improve a Machine Translation System
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ACL
2011
14 years 3 months ago
Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
Ann Clifton, Anoop Sarkar
ICASSP
2011
IEEE
14 years 3 months ago
Dynamics of tongue gestures extracted automatically from ultrasound
We describe a system for automatically extracting dynamics of tongue gestures from ultrasound images of the tongue using translational deep belief networks (tDBNs). In tDBNs, a jo...
Jeff Berry, Ian Fasel
ICASSP
2011
IEEE
14 years 3 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
ICASSP
2010
IEEE
15 years 11 hour ago
Improved statistical models for SMT-based speaking style transformation
Automatic speech recognition (ASR) results contain not only ASR errors, but also disfluencies and colloquial expressions that must be corrected to create readable transcripts. We...
Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya ...
ANLP
2000
95views more  ANLP 2000»
15 years 1 months ago
Translation using Information on Dialogue Participants
This paper proposes a way to improve the translation quality by using information on dialogue participants that is easily obtained from outside the translation component. We incor...
Setsuo Yamada, Eiichiro Sumita, Hideki Kashioka