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。
This paper introduced a knowledge representation model for multilingual natural language text generation system.
分析了多语种自然语言生成系统ACNL G中的微观规划器，提出了“基于语言资源预映射的句子优化器”，它不仅对句子进行优化，而且负责将语种无关的文章内容映射到具体语种的表达方式中。
Analyzed in this paper is the microplanner in the ACNLG, a multilingual nature language generation system, and the concept "sentence optimizer based on language resource pre mapping" is put forward.
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。
Prof Mellish said: ’The system will use a technique called Natural Language Generation, where complex data is translated into simple and understandable text.
并介绍了依照这些语法特点设计的，在特定的机器人足球解说领域内进行动态实时自然语言生成的RSC - 2系统。
And it proposes a system RSC-2, designed according to the difference, and designed to generate real-time comment for RoboCup.
并介绍了依照这些语法特点设计的，在特定的机器人足球解说领域内进行动态实时自然语言生成的RSC - 2系统。
And it proposes a system RSC-2, designed according to the difference, and designed to generate real-time comment for RoboCup.
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