Phraseology is prevalent in scientific writing and a good command of prefabricated patterns in this genre is required to write high quality texts and to be fully integrated into the "academic tribe". However, for French, few phraseological resources are currently available. For a writing aid in a second language, the user needs authentic corpus-based examples and an onomasiological or rhetorical access to this lexicon. NLP techniques offer an interesting perspective for this kind of application and a model of this kind; using rhetorical functions and semantic and syntactic properties, inspired by Sandor's concept matching (Sandor 2007) and the notion of frame (Fill more et a/. 2003), is presented here. A first implementation has been realized in the context of the Scientext project.
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