Machine Translation Method Using Inductive Learning with Genetic Algorithms
Machine Translation Method Using Inductive Learning with Genetic Algorithms
复制标题
使用遗传算法归纳学习的机器翻译方法
DOI：
10.3115/993268.993356
复制
发表时间：
1996
期刊：
影响因子：
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通讯作者：
K. Tochinai
中科院分区：
文献类型：
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作者：
Hiroshi Echizen;K. Araki;Yoshio Momouchi;K. Tochinai
我们提出了一种机器翻译的方法，该方法利用归纳学习从翻译实例中获取翻译规则，并对该方法进行了评价。我们已经证实，该方法需要大量的翻译实例。为了解决这个问题，我们采用遗传算法，并通过一些实验进行评估。我们证实，通过应用遗传算法，翻译的准确率从52.8%提高到61.9%。
We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have confirmed that the method requires many translation examples. To resolve this problem, we applied genetic algorithms and evaluated it by some experiments. We confirmed that the accuracy rate of translation increased from 52.8% to 61.9% by applying genetic algorithms.