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Towards the creation of a CNL adapted to requirements writing by combining writing recommendations and spontaneous regularities: example in a space project

机译:通过结合撰写建议和自发规律性来创建适合需求撰写的CNL:一个太空项目中的示例

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摘要

The Quality Department of the French National Space Agency (CNES, Centre National d'Etudes Spatiales) wishes to design a writing guide based on the real and regular writing of requirements. As a first step in this project, the present article proposes a linguistic analysis of requirements written in French by CNES engineers. One of our goals is to determine to what extent they conform to several rules laid down in two existing Controlled Natural Languages (CNLs), namely the Simplified Technical English developed by the AeroSpace and Defense Industries Association of Europe and the Guide for Writing Requirements proposed by the International Council on Systems Engineering. Indeed, although CNES engineers are not obliged to follow any controlled language in their writing of requirements, we believe that language regularities are likely to emerge from this task, mainly due to the writers' experience. We are seeking to identify these regularities in order to use them as a basis for a new CNL for the writing of requirements. The issue is approached using natural language processing tools to identify sentences that do not comply with the rules or contain specific linguistic phenomena. We further review these sentences to understand why the recommendations cannot (or should not) always be applied when specifying large-scale projects.
机译:法国国家航天局(CNES,国家练习曲中心)的质量部门希望根据需求的真实和定期撰写来设计撰写指南。作为该项目的第一步,本文提出了对CNES工程师用法语编写的需求的语言分析。我们的目标之一是确定它们在多大程度上符合两种现有的受控自然语言(CNL)所制定的几条规则,即欧洲航空航天和国防工业协会开发的简化技术英语以及由欧洲航空航天和国防工业协会提出的写作要求指南国际系统工程理事会。确实,尽管CNES工程师在编写要求时没有义务遵循任何受控语言,但我们认为,主要由于作者的经验,语言规律性可能会从此任务中出现。我们正在寻求识别这些规则,以便将其用作编写需求的新CNL的基础。使用自然语言处理工具来解决该问题,以识别不符合规则或包含特定语言现象的句子。我们进一步回顾这些句子,以了解为什么在指定大型项目时不能(或不应该)始终采用建议。

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