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» Fast Decoding and Optimal Decoding for Machine Translation
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EMNLP
2008
13 years 8 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
13 years 8 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
13 years 8 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
11 years 9 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
13 years 5 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