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Genetic-Based Decoder for Statistical Machine Translation

机译:基于遗传的统计机器翻译解码器

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摘要

We propose a new algorithm for decoding on machine translation process. This approach is based on an evolutionary algorithm. We hope that this new method will constitute an alternative to Moses's decoder which is based on a beam search algorithm while the one we propose is based on the optimisation of a total solution. The results achieved are very encouraging in terms of measures and the proposed translations themselves are well built.
机译:我们提出了一种新的机器翻译过程解码算法。该方法基于进化算法。我们希望这种新方法将构成基于光束搜索算法的Moses解码器的替代方案,而我们提出的解码器则基于总解决方案的优化。就措施而言,取得的成果令人鼓舞,拟议的翻译本身也很完善。

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