Linguistic Analysis of Requirements of a Space Project and Their Conformity with the Recommendations Proposed by a Controlled Natural Language

International audienceWe propose a linguistic analysis of requirements written in French for a project carried out by the French National Space Agency (CNES). The aim is to determine to what extent they conform to some of the rules laid down in INCOSE, a recent guide for writing requirements, with a focus on the notion of sentence " comprehensibility ". Although CNES engineers are not obliged to follow any Controlled Natural Language, we believe that language regularities are likely to emerge from this task, mainly due to the writers' experience. As a first step, we use natural language processing tools to identify sentences that do not comply with INCOSE rules. We further review these sentences to understand why the recommendations cannot (or should not) always be applied when specifying large-scale projects, and how they could be improved. This paper presents a corpus linguistics approach applied to the melioration of requirements writing. We propose a linguistic diagnosis of the way requirements are written in a space project by comparing these requirements with a guide for writing specifications (a controlled natural language). Initial results obtained from this analysis suggest that guides for writing specifications are not fully adapted to the real writing process: they are sometimes too constraining, and sometimes insufficiently so. In the medium term, the aim is to propose another guide based on the spontaneous regularities observed in requirements. The paper comprises two parts. In the first one (see section 2), we present the context of our study and the tool-assisted method used for making the diagnosis. In the second one (see section 3), we describe and discuss our preliminary results

To What Extent Does Text Simplification Entail a More Optimized Comprehension in Human-Oriented CNLs?

International audienceThe main goal of the current study is to develop a new cockpit controlled language for future Airbus aircraft by using psycholinguistic testing to optimize pilot comprehension. Pilots are aided by cockpit messages in order to deal with different situations during aircraft operations. The current controlled languages used on the Airbus aircraft have been carefully constructed to avoid ambiguity, inaccuracy, inconsistency, and inadequacy (Spaggiari, Beaujard, Cannesson (2003)) in order to ensure the safety of the navigation, operational needs, and the adaptability of the human-computer interaction to different situations in the cockpit. However, this controlled language has several limitations, mostly due to small screen sizes (limited number of words and sentences) and is highly codified (non-conforming to natural language syntax, color-coded and so on) so that it requires prior pilot training in order to achieve fluency. As future cockpit design is under construction, we might be looking at a different flexibility margin. Our experimentation plan is to go against the tide of common CNL (Controlled Natural Language) construction, in the sense that we will not be taking natural language and simplifying it, but rather taking a highly controlled codified language (therefore theoretically most simple) and " complexifying " it (bring it closer to natural language: theoretically most complex) in order to make it more accessible, and limit prior training needs

Le “Knowledge Management” pour l’accompagnement à l’entrée dans le métier des enseignants: quand les mondes de l’entreprise et de l’éducation se rejoignent dans la recherché de la qualité

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How to favour know-how transfer from experienced teachers to novices ? A hard challenge for the knowledge society

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L’accompagnement à l’entrée dans le métier du jeune enseignant : un enjeu majeur en éducation et un défi pour la formation à distance

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Utiliser le RaPC pour favoriser le transfert de savoir-faire entre enseignants : le projet TeTraKap

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Facilitate on-line Teacher Know-How Transfer Using Knowledge Capitalization and Case Based Reasoning

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A knowledge capitalization approach based on a Task/Method paradigm for teachers’ training and professional development

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