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» Joint Decoding with Multiple Translation Models
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COLING
2010
12 years 12 months ago
Translation Model Generalization using Probability Averaging for Machine Translation
Previous methods on improving translation quality by employing multiple SMT models usually carry out as a secondpass decision procedure on hypotheses from multiple systems using e...
Nan Duan, Hong Sun, Ming Zhou
EMNLP
2010
13 years 2 months ago
Assessing Phrase-Based Translation Models with Oracle Decoding
Extant Statistical Machine Translation (SMT) systems are very complex softwares, which embed multiple layers of heuristics and embark very large numbers of numerical parameters. A...
Guillaume Wisniewski, Alexandre Allauzen, Fran&cce...
NAACL
2010
13 years 2 months ago
Model Combination for Machine Translation
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...
CISS
2008
IEEE
13 years 11 months ago
Random access over multiple access channels: A queuing perspective
—This paper investigates a slotted random access system where packet capture is modeled using communication theoretic techniques. It is shown that the optimum rates and attempt p...
Shreeshankar Bodas, Sriram Vishwanath, Vijay Subra...
ACL
2008
13 years 6 months ago
A Discriminative Latent Variable Model for Statistical Machine Translation
Large-scale discriminative machine translation promises to further the state-of-the-art, but has failed to deliver convincing gains over current heuristic frequency count systems....
Phil Blunsom, Trevor Cohn, Miles Osborne