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» Bayesian Word Alignment for Statistical Machine Translation
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ACL
2010
14 years 7 months ago
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonatha...
79
Voted
EMNLP
2010
14 years 7 months ago
Combining Unsupervised and Supervised Alignments for MT: An Empirical Study
Word alignment plays a central role in statistical MT (SMT) since almost all SMT systems extract translation rules from word aligned parallel training data. While most SMT systems...
Jinxi Xu, Antti-Veikko I. Rosti
84
Voted
EMNLP
2009
14 years 7 months ago
Joint Optimization for Machine Translation System Combination
System combination has emerged as a powerful method for machine translation (MT). This paper pursues a joint optimization strategy for combining outputs from multiple MT systems, ...
Xiaodong He, Kristina Toutanova
IAJIT
2011
14 years 4 months ago
Improving the accuracy of English-Arabic statistical sentence alignment
: Multilingual natural language processing systems are increasingly relying on parallel corpus to ameliorate their output. Parallel corpora constitute the basic block for training ...
Mohammad Salameh, Rached Zantout, Nashat Mansour
EMNLP
2009
14 years 7 months ago
Synchronous Tree Adjoining Machine Translation
Tree Adjoining Grammars have well-known advantages, but are typically considered too difficult for practical systems. We demonstrate that, when done right, adjoining improves tran...
Steve DeNeefe, Kevin Knight