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» Learning Rules to Improve a Machine Translation System
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WLP
2000
Springer
15 years 8 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
ATAL
2005
Springer
15 years 10 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
OSDI
2004
ACM
16 years 5 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...
ACL
2011
14 years 8 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 4 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