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Controlled Natural Language Framework for Generating Assertions from Hardware Specifications

机译:用于从硬件规范生成断言的受控自然语言框架

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In this paper, we present a controlled natural language (CNL) framework for automatic processing and generation of assertions from hardware design specification. Current CNL systems have limitations in mapping differently worded sentences with the same meaning to the same logic structures. We aim to mitigate this limitation by developing a dependency grammar based CNL where the constructed parse tree does not follow strict surface-structure dependencies and instead extract additional relationship based on semantic information that is embedded in the grammar. In addition, current translation schemes for creating executable assertions from hardware design specifications do not provide feedback on wrongly or ambiguously written input sentences. Our natural language understanding algorithm is guided by the dependencies in the parse tree and has the capability to offer useful feedback for sentences that are not fully understood. We reported results on natural language assertions extracted from UART, Memory and AMBA AXI protocol specification documents. We successfully tested syntactic variations of these specifications as well.
机译:在本文中,我们提出了一种受控自然语言(CNL)框架,用于自动处理和根据硬件设计规范生成断言。当前的CNL系统在将具有相同含义的不同措词的句子映射到相同逻辑结构方面具有局限性。我们的目的是通过开发基于CNL的依赖语法来减轻这种限制,在CNL中,构造的分析树不遵循严格的表面结构依赖关系,而是根据嵌入在语法中的语义信息提取其他关系。此外,当前用于根据硬件设计规范创建可执行断言的转换方案无法提供有关错误或模棱两可的书面输入语句的反馈。我们的自然语言理解算法受解析树中的依赖关系的指导,并且能够为未完全理解的句子提供有用的反馈。我们报告了从UART,内存和AMBA AXI协议规范文档中提取的自然语言断言的结果。我们还成功测试了这些规范的语法变体。

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