Analogy-Based Machine Translation Using Secability
説明
The problem of reordering remains the main problem in machine translation. Computing structures of sentences and the alignment of substructures is a way that has been proposed to solve this problem. We use secability to compute structures and show its effectiveness in an example-based machine translation.
収録刊行物
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- 2014 International Conference on Computational Science and Computational Intelligence
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2014 International Conference on Computational Science and Computational Intelligence 297-298, 2014-03-01
IEEE
