International audienceMany Natural Language Processing (NLP) tools rely on the availability of reliable language resources (LRs). Moreover, even when such LRs are available for a given language, their quality or coverage sometimes prevent them from being used in complex NLP systems. Considering the attention received from both the academic and industrial worlds and the signiﬁcant efforts achieved during the past decades for LR development, such a lack of high quality and wide-coverage LR shows how difﬁcult their creation and maintainance can be. In this paper, we describe a set of guidelines applied within the Victoria project in order to ease the creation and correction of the LRs required for symbolic parsing. These generic guidelines should be easy to adapt and use for the production of other types of LRs
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