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EMNLP
2009
13 years 2 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
EMNLP
2010
13 years 2 months ago
Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
We describe a new approach to SMT adaptation that weights out-of-domain phrase pairs according to their relevance to the target domain, determined by both how similar to it they a...
George F. Foster, Cyril Goutte, Roland Kuhn
COLING
2010
12 years 11 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
ECIR
2010
Springer
13 years 6 months ago
Estimating Translation Probabilities from the Web for Structured Queries on CLIR
We present two methods for estimating replacement probabilities without using parallel corpora. The first method proposed exploits the possible translation probabilities latent in ...
Xabier Saralegi, Maddalen Lopez de Lacalle
ACL
2006
13 years 6 months ago
Semi-Supervised Training for Statistical Word Alignment
We introduce a semi-supervised approach to training for statistical machine translation that alternates the traditional Expectation Maximization step that is applied on a large tr...
Alexander Fraser, Daniel Marcu