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ACL
2009
13 years 8 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...
ACL
2012
12 years 1 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
LREC
2008
121views Education» more  LREC 2008»
14 years 5 days ago
Holy Moses! Leveraging Existing Tools and Resources for Entity Translation
Recently, there has been an emphasis on creating shared resources for natural language processing applications. This has resulted in the development of high-quality tools and data...
Jean Tavernier, Rosa Cowan, Michelle Vanni
ACL
2010
13 years 8 months ago
Fine-Grained Tree-to-String Translation Rule Extraction
Tree-to-string translation rules are widely used in linguistically syntax-based statistical machine translation systems. In this paper, we propose to use deep syntactic informatio...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
EACL
2009
ACL Anthology
14 years 11 months ago
Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain
Handling terminology is an important matter in a translation workflow. However, current Machine Translation (MT) systems do not yet propose anything proactive upon tools which ass...
François Yvon, Philippe Langlais, Pierre Zw...