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ECML
2003
Springer
15 years 4 months ago
Learning Rules to Improve a Machine Translation System
In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to ...
David Kauchak, Charles Elkan
ACL
2010
14 years 9 months ago
TrustRank: Inducing Trust in Automatic Translations via Ranking
The adoption of Machine Translation technology for commercial applications is hampered by the lack of trust associated with machine-translated output. In this paper, we describe T...
Radu Soricut, Abdessamad Echihabi
EMNLP
2009
14 years 9 months ago
Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
Current methods of using lexical features in machine translation have difficulty in scaling up to realistic MT tasks due to a prohibitively large number of parameters involved. In...
Libin Shen, Jinxi Xu, Bing Zhang, Spyros Matsoukas...
COLING
1996
15 years 28 days ago
Example-Based Machine Translation in the Pangloss System
The Pangloss Example-Based Machine Translation engine (I'anEI3MT) l is a translation system reql,iring essentially no knowledge of the structure of a language, merely a large...
Ralf D. Brown
EMNLP
2010
14 years 9 months ago
Discriminative Sample Selection for Statistical Machine Translation
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Sankaranarayanan Ananthakrishnan, Rohit Prasad, Da...