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ACL
2009
15 years 1 months ago
Variational Decoding for Statistical Machine Translation
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
Zhifei Li, Jason Eisner, Sanjeev Khudanpur
ACL
2009
15 years 1 months ago
Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem
An efficient decoding algorithm is a crucial element of any statistical machine translation system. Some researchers have noted certain similarities between SMT decoding and the f...
Mikhail Zaslavskiy, Marc Dymetman, Nicola Cancedda
EMNLP
2009
15 years 1 months ago
Consensus Training for Consensus Decoding in Machine Translation
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
Adam Pauls, John DeNero, Dan Klein
EMNLP
2006
15 years 4 months ago
Phrasetable Smoothing for Statistical Machine Translation
We discuss different strategies for smoothing the phrasetable in Statistical MT, and give results over a range of translation settings. We show that any type of smoothing is a bet...
George F. Foster, Roland Kuhn, Howard Johnson
ACL
2003
15 years 4 months ago
Loosely Tree-Based Alignment for Machine Translation
We augment a model of translation based on re-ordering nodes in syntactic trees in order to allow alignments not conforming to the original tree structure, while keeping computati...
Daniel Gildea