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» Learning Rules to Improve a Machine Translation System
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ACL
2007
15 years 1 months ago
A Discriminative Syntactic Word Order Model for Machine Translation
We present a global discriminative statistical word order model for machine translation. Our model combines syntactic movement and surface movement information, and is discriminat...
Pi-Chuan Chang, Kristina Toutanova
NAACL
2010
14 years 9 months ago
Model Combination for Machine Translation
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...
LREC
2008
110views Education» more  LREC 2008»
15 years 1 months ago
Developing Non-European Translation Pairs in a Medium-Vocabulary Medical Speech Translation System
We describe recent work on MedSLT, a medium-vocabulary interlingua-based medical speech translation system, focussing on issues that arise when handling languages of which the gra...
Pierrette Bouillon, Sonia Halimi, Yukie Nakao, Kyo...
ACSW
2004
15 years 1 months ago
A Market-based Rule Learning System
In this paper, a `market trading' technique is integrated with the techniques of rule discovery and refinement for data mining. A classifier system-inspired model, the market...
Qingqing Zhou, Martin K. Purvis
EMNLP
2009
14 years 9 months ago
Better Synchronous Binarization for Machine Translation
Binarization of Synchronous Context Free Grammars (SCFG) is essential for achieving polynomial time complexity of decoding for SCFG parsing based machine translation systems. In t...
Tong Xiao, Mu Li, Dongdong Zhang, Jingbo Zhu, Ming...