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» Applying Morphology Generation Models to Machine Translation
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ACL
2012
11 years 10 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
ACL
2008
13 years 9 months ago
Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
Jakob Uszkoreit, Thorsten Brants
TASLP
2008
142views more  TASLP 2008»
13 years 7 months ago
HMM Word and Phrase Alignment for Statistical Machine Translation
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
Yonggang Deng, William J. Byrne
ACL
2012
11 years 10 months ago
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage...
Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan
ACL
2006
13 years 9 months ago
Left-to-Right Target Generation for Hierarchical Phrase-Based Translation
We present a hierarchical phrase-based statistical machine translation in which a target sentence is efficiently generated in left-to-right order. The model is a class of synchron...
Taro Watanabe, Hajime Tsukada, Hideki Isozaki