On the application of different evolutionary algorithms to the alignment problem in statistical machine translation-Reference-Cited by-同舟云学术

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On the application of different evolutionary algorithms to the alignment problem in statistical machine translation

Published:2008-01 Issue:4-6 Volume:71 Page:755-765
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Rodríguez Luis,García-Varea Ismael,Gámez José A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference30 articles.

1. S. Baluja, Population based incremental learning, Technical Report CMU-CS-94-163, School of Computer Science, Carnegie Mellon University, 1994.

2. The Candide System for Machine Translation;Berger,1994

3. The mathematics of statistical machine translation: parameter estimation;Brown;Comp. Linguist.,1993

4. Automated Dictionary Extraction for Knowledge-free Example-based Translation;Brown,1997

5. An unsupervised method for multilingual word sense tagging using parallel corpora;Diab,2000

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1. Towards Machine Translation of Chinese Complex Structures;Advances in Intelligent Systems and Computing;2019-06-05

2. Effectively training neural machine translation models with monolingual data;Neurocomputing;2019-03

3. Evolutionary Learning of Syntax Patterns for Genic Interaction Extraction;Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation;2015-07-11

4. Quantum Neural Network Based Machine Translator for Hindi to English;The Scientific World Journal;2014

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