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» Learning Rules to Improve a Machine Translation System
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EMNLP
2007
15 years 1 months ago
Smooth Bilingual N-Gram Translation
We address the problem of smoothing translation probabilities in a bilingual N-grambased statistical machine translation system. It is proposed to project the bilingual tuples ont...
Holger Schwenk, Marta R. Costa-Jussà, Jos&e...
EMNLP
2010
14 years 9 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
EMNLP
2009
14 years 9 months ago
Acquiring Translation Equivalences of Multiword Expressions by Normalized Correlation Frequencies
In this paper, we present an algorithm for extracting translations of any given multiword expression from parallel corpora. Given a multiword expression to be translated, the meth...
Ming-Hong Bai, Jia-Ming You, Keh-Jiann Chen, Jason...
COLING
2000
15 years 1 months ago
MT and Topic-Based Techniques to Enhance Speech Recognition Systems for Professional Translators
Our principle objective was to reduce the error rate of speech recognition systems used by professional translators. Our work concentrated on Spanish-to-English translation. In a ...
Yevgeny Ludovik, Ron Zacharski
MVA
2002
195views Computer Vision» more  MVA 2002»
14 years 11 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee