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单纯运用基于规则进行机器翻译系统很难有效地解决目前机器翻译所面临的一系列问题。笔者针对汉—蒙机器翻译系统中的译文效果,首先分析归纳了在基于规则的MT方法中遇到的一些难题,然后提出了运用基于实例(Example Based)的转换和基于规则(Rule Based)的转换相结合的方法,旨在解决汉—蒙机器翻译中存在的问题。
Simply using rules-based machine translation system is difficult to effectively solve the current series of problems facing machine translation. According to the translation effect in the Chinese-Mongolian machine translation system, the author first analyzes and summarizes some of the problems encountered in the rule-based MT method, and then proposes the use of Example Based transformation and Rule Based Conversion method to solve the problems existing in Chinese-Mongolian machine translation.