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ACL
2008
14 years 11 months ago
Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair?
In this work, the problem of extracting phrase translation is formulated as an information retrieval process implemented with a log-linear model aiming for a balanced precision an...
Yonggang Deng, Jia Xu, Yuqing Gao
ICIP
2009
IEEE
14 years 7 months ago
New image processing challenges for jointly designed electro-optical imaging systems
Still-image processing algorithms are tailored to and depend crucially upon the properties of the class of images to which they are applied, for instance natural images in consumer...
M. Dirk Robinson, David G. Stork
TSD
2005
Springer
15 years 3 months ago
The VoiceTRAN Speech-to-Speech Communicator
The paper presents the design concept of the VoiceTRAN Communicator that integrates speech recognition, machine translation and text-to-speech synthesis using the DARPA Galaxy arch...
Jerneja Zganec-Gros, France Mihelic, Tomaz Erjavec...
EMNLP
2010
14 years 7 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
84
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ICASSP
2010
IEEE
14 years 9 months 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 ...