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» Learning Rules to Improve a Machine Translation System
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142
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WLP
2000
Springer
15 years 7 months ago
Attempto Controlled English
Attempto Controlled English (ACE) is a controlled natural language, i.e. a precisely defined subset of English that can automatically and unambiguously be translated into first-ord...
Norbert E. Fuchs
165
Voted
ATAL
2005
Springer
15 years 9 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
124
Voted
OSDI
2004
ACM
16 years 4 months ago
CoDNS: Improving DNS Performance and Reliability via Cooperative Lookups
The Domain Name System (DNS) is a ubiquitous part of everyday computing, translating human-friendly machine names to numeric IP addresses. Most DNS research has focused on server-...
KyoungSoo Park, Vivek S. Pai, Larry L. Peterson, Z...
173
Voted
ACL
2011
14 years 7 months ago
Gappy Phrasal Alignment By Agreement
We propose a principled and efficient phraseto-phrase alignment model, useful in machine translation as well as other related natural language processing problems. In a hidden se...
Mohit Bansal, Chris Quirk, Robert C. Moore
KES
2006
Springer
15 years 3 months ago
Automatic Discovery of Basic Motion Classification Rules
There is a keen demand for a method of sharing better work practices in a factory because better work practices are the key to improving productivity. We have developed a system th...
Satoshi Hori, Mizuho Sasaki, Hirokazu Taki