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。
Prof Mellish said: ’The system will use a technique called Natural Language Generation, where complex data is translated into simple and understandable text.
Mellish教授说：“这个系统将用一种叫做自然语言生成的技术，将复杂的数据转换成简单的统一理解的文档。
This paper introduced a knowledge representation model for multilingual natural language text generation system.
介绍了在多语种自然语言生成系统中如何用统一的模型来表示各语种的语言知识。
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