Active Bibliography

2 A General-Purpose Rule Extractor for SCFG-Based Machine Translation – Greg Hanneman, Michelle Burroughs, Alon Lavie
c○2011 The Association for Computational Linguistics – Dekai Wu, Marianna Apidianaki, Marine Carpuat, Lucia Specia (editors - 2011
Automatically Improved Category Labels for Syntax-Based Statistical Machine Translation – Greg Hanneman - 2011
Automatic Category Label Coarsening for Syntax-Based Machine Translation – Greg Hanneman, Alon Lavie
CMU Syntax-Based Machine Translation at WMT 2011 – Greg Hanneman, Alon Lavie
2 Lightly-Supervised Training for Hierarchical Phrase-Based Machine Translation – Matthias Huck, David Vilar, Daniel Stein, Hermann Ney
Lattice Rescoring Methods for Statistical Machine Translation – Graeme Blackwood
1 Minimum Imputed Risk: Unsupervised Discriminative Training for Machine Translation – Zhifei Li, Jason Eisner, Ziyuan Wang, Sanjeev Khudanpur
Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules ∗ – Baskaran Sankaran, Gholamreza Haffari, Anoop Sarkar
Syntax-based Statistical Machine Translation using Tree Automata and Tree – Daniel Emilio Beck
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach – Preslav Nakov, Hwee Tou Ng
1 Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages – Preslav Nakov, Jörg Tiedemann
7 The Best Lexical Metric for Phrase-Based Statistical MT System Optimization – Daniel Cer, Christopher D. Manning, Daniel Jurafsky
An Improved Statistical Transfer System for French–English Machine Translation – Greg Hanneman, Vamshi Ambati, Jonathan H. Clark, Alok Parlikar, Alon Lavie
c○2009 The Association for Computational Linguistics – Dekai Wu, David Chiang (editors
2 Decoding with syntactic and non-syntactic phrases in a syntax-based machine translation system – Greg Hanneman, Alon Lavie - 2009
4 Bayesian Word Alignment for Statistical Machine Translation Cos¸kun Mermer 1,2 1 – Murat Saraçlar
1 Effective Use of Function Words for Rule Generalization in Forest-Based Translation – Xianchao Wu, Takuya Matsuzaki
Stacking for Statistical Machine Translation ∗ – Majid Razmara, Anoop Sarkar