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Master Thesis

Le lexique verbal causatif et le raisonnement causal dans les textes scientifiques issus de Scientext

Abstract : Causal relations are constitutive of scientific text. Causal information implies different stages of the construction of knowledge. If causal relations are commonly considered independent of all observation and judgment, the recent studies on linguistic causality (Jackiewicz (1998), Nazarenko (2000)) in agreement with the studies in philosophy (Hume (1739), Kant (1781)) insist on the subjective character of the causal relation, on the fact that it depends on the speaker's point of view. In other words, causality is the door that opens the placement of traces of the speaker's subject. Causal reasoning plays an important role for the interpretation of scientific writings. It is the foundation of all scientific composition and is manifested by lexical or grammatical clues, but also by the fact that "interlocutors share the knowledge of a causal relation" which allows them to understand this reasoning (cf. Gross & Nazarenko (2004)). From a pre-established list of verbs and causal constructions presented in dictionaries and dedicated works of lexicon cause, our goal will be to first establish a class of verbs and causative constructions (Dixon (2000)), in order to then test their function in a corpus, consisted of scientific writings issued in Scientext. It particularly consists of more scientific writings belonging to three principal disciplines: human sciences, experimental sciences and applied sciences. Across the frequent studies, of one part, and the syntactical and lexical combination of the vast range of causative structures, of another part, we analyze the common trends concerning causal reasoning in three types of corpora. We equally observe if the different disciplines benefit certain causative structures in the expense of others and, if yes, why.
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Master Thesis
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Submitted on : Thursday, December 16, 2010 - 3:58:44 PM
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Monika Bak. Le lexique verbal causatif et le raisonnement causal dans les textes scientifiques issus de Scientext. Linguistique. 2010. ⟨dumas-00547544⟩

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