Source language analysis and target language generation are two problems that must be solved for Machine Translation System.
机器翻译系统中，源语的分析和目标语的生成是必须解决的两大问题。
Syntactic transfer ambiguity disambiguation and target-language generation treatment are two important stages of hybrid Chinese-English machine translation.
句型转换的消歧和译文生成处理是混合式汉英机器翻译的两个重要阶段。
We adopt a semantic-based rule driven method to cut down redundancy in the text structure tree, which is quite unique and appropriate for natural language generation system.
采用一种基于语义的规则驱动方法来消除句子之间的信息冗余，从而使生成的文本更加自然流畅，增加可读性。
We adopt a semantic-based rule driven method to cut down redundancy in the text structure tree, which is quite unique and appropriate for natural language generation system.
采用一种基于语义的规则驱动方法来消除句子之间的信息冗余，从而使生成的文本更加自然流畅，增加可读性。
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