Syntactical Motifs and Textual Structures
Considerations based on the Study of a Latin historical Corpus
Abstract: A method initially developed to carry out automatic comparisons and classifications of Latin historians texts shows that some well-ordered and characteristic structures, – some syntactical motifs in particular –, can perfectly distinguish a text from the others texts making up the corpus. This paper will establish on which factors the relevance of such a reduction method can be grounded in order to give an account of affinities and distances between texts: recurrence of the chosen motifs, exhaustiveness of the counting, respect of the text linearity both on the local level and on the global level. This will lead to a reflection on the notions of texture and textuality, understood through the properties of linearity and reticularity.
Cited by (3)
Cited by three other publications
Vanni, Laurent, Marco Corneli, Dominique Longrée, Damon Mayaffre & Frédéric Precioso
2020.
Key Passages : From Statistics to Deep Learning. In
Text Analytics [
Studies in Classification, Data Analysis, and Knowledge Organization, ],
► pp. 41 ff.
Longrée, Dominique & Sylvie Mellet
2013.
Le motif : une unité phraséologique englobante ? Étendre le champ de la phraséologie de la langue au discours.
Langages n° 189:1
► pp. 65 ff.
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