利用自然语言规范中提取的词表,基于语法生成VDM++规范的算法

T. Katayama, Yasuhiro Shigyo, Yoshihiro Kita, H. Yamaba, K. Aburada, N. Okazaki
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引用次数: 0

摘要

本研究试图通过机器学习从自然语言规范自动生成VDM++规范。在VDM++规范的自动生成中,有必要从自然语言规范中提取由谓词和名词组成的单词。谓语分别对应函数,名词分别对应变量。然而,提取的名词和谓语很难与VDM++规范的语法一起使用。不能仅通过提取的名词和谓词来描述VDM++规范。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal of an Algorithm to Generate VDM++ Specification Based on its Grammar by Using Word Lists Extracted from the Natural Language Specification
This study attempts to generate a VDM++ specification automatically from a natural language specification by machine learning. In the automatic generation of a VDM++ specification, it is necessary to extract words that consist of predicates and nouns from the natural language specifications. The predicates are corresponding to functions and nouns are corresponding to variables, respectively. However, it is difficult to use the extracted nouns and predicates along with the grammar of VDM++ specification. A VDM++ specification cannot be described from the only extracted nouns and predicates.
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