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» Learning Rules to Improve a Machine Translation System
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CIKM
2005
Springer
14 years 28 days ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
ACL
2007
13 years 8 months ago
Word Sense Disambiguation Improves Statistical Machine Translation
Recent research presents conflicting evidence on whether word sense disambiguation (WSD) systems can help to improve the performance of statistical machine translation (MT) syste...
Yee Seng Chan, Hwee Tou Ng, David Chiang
AAAI
1994
13 years 8 months ago
Automated Postediting of Documents
Large amounts of low- to medium-quality English texts are now being produced by machine translation (MT) systems, optical character readers (OCR), and non-native speakers of Engli...
Kevin Knight, Ishwar Chander
COLING
2000
13 years 8 months ago
An Integrated Architecture for Example-Based Machine Translation
This paper describes a machine translation architecture that integrates the use el' examples for flexible, idiomatic translations with the use o1' linguistic rules for b...
Alexander Franz, Keiko Horiguchi, Lei Duan, Doris ...
CEC
2005
IEEE
13 years 9 months ago
On the use of rule-sharing in learning classifier system ensembles
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...