Multi-objective optimisation of real-valued parameters of a hybrid MT system using Genetic Algorithms

Author:

Sofianopoulos Sokratis,Tambouratzis George

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference41 articles.

1. Ballester, P.J., Carter, J.N., 2003. Real parameter genetic algorithms for finding multiple optimal solutions in multimodal optimization. In: Erick CantuPaz et al. (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference. Lecture Notes in Computer Science, Springer, pp. 706–717.

2. Banerjee, S., Lavie, A., 2005. METEOR: an automatic metric for MT evaluation with improved correlation with human judgments. In: Proceedings of Workshop on Intrinsic and Extrinsic Evaluation Measures for MT and/or Summarization at the 43th Annual Meeting of the Association of Computational Linguistics (ACL’05). Ann Arbor, Michigan.

3. Bender, O., Zens, R., Matusov, E., Ney, H., 2004. Alignment templates: the RWTH SMT system. In: IWSLT 2004, Proceedings of the International Workshop on Spoken Language Translation. Kyoto, Japan, pp. 79–84.

4. Black, A.W., Campbell, N., 1995. Optimizing selection of units from speech databases for concatenative synthesis. In: Proceedings of Eurospeech’95, vol. 1. Madrid, Spain, pp. 581–584.

5. A real-coded genetic algorithm for training recurrent neural networks;Blanco;Neural Networks,2001

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