Rhetorical Strategy in Forensic Speeches: Multidimensional Statistics-Based Methodology |
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Authors: | Mónica Bécue-Bertaut Belchin Kostov Annie Morin Guilhem Naro |
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Institution: | 1. Universitat Politècnica de Catalunya, Barcelona, Spain 2. Transverse group for research in primary care, IDIBAPS, Barcelona, Spain 3. Universitat Politècnica de Catalunya, Barcelona, Spain 4. Université de Rennes I, Rennes, France 5. Universitat Pompeu Fabra, Barcelona, Spain
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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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