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» Learning Rules to Improve a Machine Translation System
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ICML
1994
IEEE
15 years 3 months ago
Revision of Production System Rule-Bases
We describe CLIPS-R, a theory revision system for the revision of CLIPS rule-bases. CLIPS-R differs from previous theory revision systems in that it operates on forward chaining p...
Patrick M. Murphy, Michael J. Pazzani
ICASSP
2011
IEEE
14 years 3 months ago
A novel decision function and the associated decision-feedback learning for speech translation
In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based o...
Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero
ACL
1996
15 years 1 months ago
A Synopsis of Learning to Recognize Names Across Languages
The development of natural language processing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
Anthony F. Gallippi
ICML
1990
IEEE
15 years 3 months ago
Explanations of Empirically Derived Reactive Plans
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
Diana F. Gordon, John J. Grefenstette
NAACL
2007
15 years 1 months ago
POSSLT: A Korean to English Spoken Language Translation System
The POSSLT 1 is a Korean to English spoken language translation (SLT) system. Like most other SLT systems, automatic speech recognition (ASR), machine translation (MT), and text-t...
Donghyeon Lee, Jonghoon Lee, Gary Geunbae Lee