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            <title xml:lang="fr">La glose comme outil de désambiguïsation référentielle des noms propres purs</title>
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                <forename type="first">Montserrat</forename>
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                <term xml:lang="fr">nom propre (pur)</term>
                <term xml:lang="fr">entité nommante (individualisante)</term>
                <term xml:lang="fr">forme catégorisante</term>
                <term xml:lang="fr">glose (catégorisante)</term>
                <term xml:lang="fr">polyréférentialité</term>
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              <p>All proper nouns are potentially multireferential given that they are associated to their referent by extralinguistic links and not in a lexical sence, which would characterise the type of referent to which it is susceptible to be applied to. Consequently, in the writing text there is only the textual context as a means of removing all referential ambiguity from the proper noun. My research hinges on automatic language processing and praxematic linguistics. As such, I will attempt to develop computational grammar from a structure that I will call glose and which, within the framework of nominal semantics, turns out to be a privileged tool for clarifying the proper noun's referential ambiguity. The corpus used for this study will essentially be composed of on line Spanish journalistic texts.</p>
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              <p>Tout nom propre est potentiellement polyréférentiel par le fait d'être associé à son référent par des liens extralinguistiques et non par un sens lexical qui caractériserait le type de référents auxquels il est susceptible d'être appliqué. Cela a comme conséquence que le texte écrit offre comme seul moyen de désambiguïsation référentielle du nom propre le cotexte. Mon étude se situant à la charnière du traitement automatique du langage et de la linguistique praxématique, je m'apprête à élaborer la grammaire automatisée d'une structure que je propose d'appeler glose et qui s'avère, dans le cadre de la sémantique nominale, un outil privilégié de désambiguïsation référentielle du nom propre. Le corpus utilisé sera composé essentiellement de textes journalistiques en ligne en langue espagnole.</p>
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