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» Learning Mechanism in Machine Translation System
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EMNLP
2008
13 years 8 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
AWIC
2003
Springer
13 years 12 months ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma
LREC
2008
121views Education» more  LREC 2008»
13 years 8 months ago
Holy Moses! Leveraging Existing Tools and Resources for Entity Translation
Recently, there has been an emphasis on creating shared resources for natural language processing applications. This has resulted in the development of high-quality tools and data...
Jean Tavernier, Rosa Cowan, Michelle Vanni
JUCS
2006
185views more  JUCS 2006»
13 years 6 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
CEC
2005
IEEE
13 years 8 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...