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» Boosting-Based System Combination for Machine Translation
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ACL
2012
11 years 7 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...
COLING
2010
13 years 5 days 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
2007
13 years 6 months ago
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that t...
Wolfgang Macherey, Franz Josef Och
COLING
2010
13 years 5 days ago
Constituent Reordering and Syntax Models for English-to-Japanese Statistical Machine Translation
We present a constituent parsing-based reordering technique that improves the performance of the state-of-the-art English-to-Japanese phrase translation system that includes disto...
Young-Suk Lee, Bing Zhao, Xiaoqian Luo
ACL
2009
13 years 3 months ago
Revisiting Pivot Language Approach for Machine Translation
This paper revisits the pivot language approach for machine translation. First, we investigate three different methods for pivot translation. Then we employ a hybrid method combin...
Hua Wu, Haifeng Wang