Rhetorical Strategy in Forensic Speeches: Multidimensional Statistics-Based Methodology

Abstract : Rhetorical strategy is relevant in the law domain, where language is a vital instrument. Textual statistics have much to offer for uncovering such a strategy. We propose a methodology that starts from a non-structured text; first, the breakpoints are automatically detected and lexically homogeneous parts are identified; then, the shape of the text through the trajectory of these parts and their hierarchical structure are uncovered; finally, the argument flow is tracked along. Several methods are combined. Chronological clustering of multidimensional count series detects the breakpoints; the shape of the text is revealed by applying correspondence analysis to the parts×words table while the progression of the argument is described by labelled time-constrained hierarchical clustering. This methodology is illustrated on a rhetoric forensic application, concretely a closing speech delivered by a prosecutor at Barcelona Criminal Court. This approach could also be useful in politics, communication and professional writing.
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Article dans une revue
Journal of Classification, Springer Verlag, 2014, 31 (1), pp.85-106. 〈10.1007/s00357-014-9148-9〉
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https://hal.inria.fr/hal-01026150
Contributeur : Patrick Gros <>
Soumis le : dimanche 20 juillet 2014 - 17:00:14
Dernière modification le : jeudi 11 janvier 2018 - 06:20:10

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Mónica Bécue-Bertaut, Belchin Adriyanov Kostov, Annie Morin, Gulhem Naro. Rhetorical Strategy in Forensic Speeches: Multidimensional Statistics-Based Methodology. Journal of Classification, Springer Verlag, 2014, 31 (1), pp.85-106. 〈10.1007/s00357-014-9148-9〉. 〈hal-01026150〉

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