Comment Peut-on Analyser Les Signes Typographiques D’un Corpus Etendu ?
Keywords:
logometric analysis, academic discipline, scientific writing, genre, punctuationAbstract
This article is meant to be exploratory, it aims to show an approach that fits into the linguistics of the corpus, and that could be effective to testify to a digital practice in the teaching and/ or learning of the organization system of writing. The concept corpus has brought together texts of various fields and large sizes constructing a representative and homogeneous sampling. In addition, the manual or traditional analysis of this type of corpus is no longer effective since it requires a considerable amount of work and time. To this end, it is interesting to wonder about the interest of an automatic analysis of a corpus dedicated to the search for typographic signs, using the appropriate software for the field invested.
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