cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models (2010)

by Chris Dyer , Adam Lopez , Juri Ganitkevitch , Jonathan Weese , Hendra Setiawan , Ferhan Ture , Vladimir Eidelman , Phil Blunsom , Philip Resnik
Venue:In Proceedings of ACL System Demonstrations
Citations:65 - 29 self

Active Bibliography

52 A survey of statistical machine translation – Adam Lopez - 2007
1 Minimum Imputed Risk: Unsupervised Discriminative Training for Machine Translation – Zhifei Li, Jason Eisner, Ziyuan Wang, Sanjeev Khudanpur
3 MACHINE TRANSLATION BY PATTERN MATCHING – Adam David Lopez - 2008
Using Linguistic Knowledge in Statistical Machine Translation – Rabih M. Zbib, James R. Glass - 2010
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT – Adam Lopez, Matt Post, Chris Callison-burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beenish Jamil, Matthias Lee, Ya-ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao
Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies – Zhifei Li, Chris Callison-burch, Chris Dyer, Juri Ganitkevitch, Ann Irvine, Lane Schwartz, Wren N. G. Thornton, Ziyuan Wang, Jonathan Weese, Omar F. Zaidan
17 Structured Ramp Loss Minimization for Machine Translation – Kevin Gimpel, Noah A. Smith
Improving Chinese-English . . . – Pi-Chuan Chang, et al. - 2009
Treebased Translation without Using Parse Trees – Feifei Zhai, Jiajun Zhang, Yu Zhou, Chengqing Zong
Alignment Models and Algorithms for Statistical Machine Translation – James Brunning - 2010
7 Feature-rich translation by quasi-synchronous lattice parsing – Kevin Gimpel, Noah A. Smith - 2009
20 Variational Decoding for Statistical Machine Translation – Zhifei Li, Jason Eisner, Sanjeev Khudanpur
U N I V E R – Michael Auli - 2009
11 Translation as weighted deduction – Adam Lopez - 2009
7 Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT – Patrick Simianer, Stefan Riezler, Chris Dyer
5 Joint Decoding with Multiple Translation Models – Yang Liu, Haitao Mi, Yang Feng, Qun Liu
2 A Unified Approach to Minimum Risk Training and Decoding – Abhishek Arun, Barry Haddow
2 Fine-grained Tree-to-String Translation Rule Extraction – Xianchao Wu, Takuya Matsuzaki
Hope and Fear for Discriminative Training of Statistical Translation Models – David Chiang, Michael Collins