Sciweavers

803 search results - page 14 / 161
» Cognates Can Improve Statistical Translation Models
Sort
View
NAACL
2007
13 years 10 months ago
Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems
In the framework of the Tc-Star project, we analyze and propose a combination of two Statistical Machine Translation systems: a phrase-based and an N-gram-based one. The exhaustiv...
Marta R. Costa-Jussà, Josep Maria Crego, Da...
ACL
2010
13 years 6 months ago
A Joint Rule Selection Model for Hierarchical Phrase-Based Translation
In hierarchical phrase-based SMT systems, statistical models are integrated to guide the hierarchical rule selection for better translation performance. Previous work mainly focus...
Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou, Tiejun ...
IALP
2009
13 years 6 months ago
Improved Reordering Rules for Hierarchical Phrase-Based Translation
Hierarchical phrase-based translation model has been proven to be a simple and powerful machine translation model. However, due to the computational complexity constraints, the ext...
Shu Cai, Yajuan Lü, Qun Liu
ACL
2008
13 years 10 months ago
Recent Improvements in the CMU Large Scale Chinese-English SMT System
In this paper we describe recent improvements to components and methods used in our statistical machine translation system for ChineseEnglish used in the January 2008 GALE evaluat...
Almut Silja Hildebrand, Kay Rottmann, Mohamed Noam...
IAT
2009
IEEE
14 years 3 months ago
An Intelligent Agent That Autonomously Learns How to Translate
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...
Marco Turchi, Tijl De Bie, Nello Cristianini