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» Explanation-based Learning for Machine Translation
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ICCS
1993
Springer
14 years 1 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
EPIA
1995
Springer
14 years 1 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
ICML
2001
IEEE
14 years 10 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
ACL
2007
13 years 11 months ago
Regression for Sentence-Level MT Evaluation with Pseudo References
Many automatic evaluation metrics for machine translation (MT) rely on making comparisons to human translations, a resource that may not always be available. We present a method f...
Joshua Albrecht, Rebecca Hwa
ACL
2006
13 years 11 months ago
Semi-Supervised Learning of Partial Cognates Using Bilingual Bootstrapping
Partial cognates are pairs of words in two languages that have the same meaning in some, but not all contexts. Detecting the actual meaning of a partial cognate in context can be ...
Oana Frunza, Diana Zaiu Inkpen