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ECML
2003
Springer
13 years 11 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
NAACL
2010
13 years 3 months ago
Stream-based Translation Models for Statistical Machine Translation
Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
Abby Levenberg, Chris Callison-Burch, Miles Osborn...
LREC
2008
135views Education» more  LREC 2008»
13 years 7 months ago
Communicating Unknown Words in Machine Translation
A new approach to handle unknown words in machine translation is presented. The basic idea is to find definitions for the unknown words on the source language side and translate t...
Matthias Eck, Stephan Vogel, Alex Waibel
ACL
2008
13 years 7 months ago
Name Translation in Statistical Machine Translation - Learning When to Transliterate
We present a method to transliterate names in the framework of end-to-end statistical machine translation. The system is trained to learn when to transliterate. For Arabic to Engl...
Ulf Hermjakob, Kevin Knight, Hal Daumé III
ACL
2006
13 years 7 months ago
Statistical Phrase-Based Models for Interactive Computer-Assisted Translation
Obtaining high-quality machine translations is still a long way off. A postediting phase is required to improve the output of a machine translation system. An alternative is the s...
Jesús Tomás, Francisco Casacuberta