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» Fast Decoding and Optimal Decoding for Machine Translation
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EMNLP
2008
14 years 11 months ago
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding over translation lattices that compactly encode a huge number of translation hypotheses. We describe conditions on the loss function t...
Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfg...
NAACL
2003
14 years 11 months ago
Greedy Decoding for Statistical Machine Translation in Almost Linear Time
We present improvements to a greedy decoding algorithm for statistical machine translation that reduce its time complexity from at least cubic (  ¢¡¤£¦¥¨§ when applied na...
Ulrich Germann
ACL
2007
14 years 11 months ago
Extending MARIE: an N-gram-based SMT decoder
In this paper we present several extensions of MARIE1 , a freely available N-gram-based statistical machine translation (SMT) decoder. The extensions mainly consist of the ability...
Josep Maria Crego, José B. Mariño
ACL
2012
12 years 12 months ago
Mixing Multiple Translation Models in Statistical Machine Translation
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
Majid Razmara, George Foster, Baskaran Sankaran, A...
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