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。
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。
This is the foundation of implementing new generation natural language understanding systems.
这是实现新一代的自然语言理解系统的基础。
Question Answering (QA) is the next generation of search engine which is related to natural language processing, information retrieval and etc.
自动问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
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。
So, it can be found that at present the automatic code generation mainly uses abstract description of the requirement rather than the natural language which is more commonly used.
针对于目前在自动代码生成中主要使用抽象化的需求描述，而不是更常用的自然语言来表达的情况，提出了一个以受限汉语理解为基础的自动代码生成方案。
Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.
问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.
问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
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