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» Machine Translation Based on NLG from XML-DB
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ACL
2009
13 years 5 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
NAACL
2007
13 years 9 months ago
Are Very Large N-Best Lists Useful for SMT?
This paper describes an efficient method to extract large n-best lists from a word graph produced by a statistical machine translation system. The extraction is based on the k sh...
Sasa Hasan, Richard Zens, Hermann Ney
INLG
2010
Springer
13 years 5 months ago
Paraphrase Generation as Monolingual Translation: Data and Evaluation
In this paper we investigate the automatic generation and evaluation of sentential paraphrases. We describe a method for generating sentential paraphrases by using a large aligned...
Sander Wubben, Antal van den Bosch, Emiel Krahmer
LREC
2010
176views Education» more  LREC 2010»
13 years 9 months ago
Integrating a Rule-based with a Hierarchical Translation System
Recent developments on hybrid systems that combine rule-based machine translation (RBMT) systems with statistical machine translation (SMT) generally neglect the fact that RBMT sy...
Yu Chen, Andreas Eisele
IBPRIA
2003
Springer
14 years 23 days ago
Combining Phrase-Based and Template-Based Alignment Models in Statistical Translation
In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
Jesús Tomás, Francisco Casacuberta