Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality
暂无分享,去创建一个
[1] Hao Yu,et al. Discarding monotone composed rule for hierarchical phrase-based statistical machine translation , 2009, IUCS '09.
[2] Franz Josef Och,et al. Minimum Error Rate Training in Statistical Machine Translation , 2003, ACL.
[3] Liang Huang,et al. Statistical Syntax-Directed Translation with Extended Domain of Locality , 2006, AMTA.
[4] Yang Liu,et al. Tree-to-String Alignment Template for Statistical Machine Translation , 2006, ACL.
[5] Daniel Marcu,et al. Statistical Phrase-Based Translation , 2003, NAACL.
[6] Philipp Koehn,et al. Moses: Open Source Toolkit for Statistical Machine Translation , 2007, ACL.
[7] Yang Liu,et al. Log-Linear Models for Word Alignment , 2005, ACL.
[8] David Chiang,et al. A Hierarchical Phrase-Based Model for Statistical Machine Translation , 2005, ACL.
[9] Joel D. Martin,et al. Improving Translation Quality by Discarding Most of the Phrasetable , 2007, EMNLP.
[10] Hermann Ney,et al. HMM-Based Word Alignment in Statistical Translation , 1996, COLING.
[11] Daniel Marcu,et al. Hierarchical Search for Word Alignment , 2010, ACL.
[12] Robert L. Mercer,et al. The Mathematics of Statistical Machine Translation: Parameter Estimation , 1993, CL.
[13] Andreas Bode,et al. Improved Discriminative Bilingual Word Alignment , 2006, ACL.
[14] Hermann Ney,et al. The Alignment Template Approach to Statistical Machine Translation , 2004, CL.
[15] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.