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Hidden messages in (Pour un oui ou pour un non) of Nathalie Sarraute: Les messages cachés dans "Pour un oui ou pour un non" de Nathalie Sarraute
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       The implicit is the narrative technique used to give indirect hidden messages. To read between the lines means to understand the implicit meaning that is not directly indicated. This technique is expressed in two forms: the hypothesis and the implications of linguistic and non-linguistic rules. Nathalie Sarraute’s "Pour un oui ou pour un non" states this narrative method through her character’s verbal and non-verbal dialogue. The present paper discusses the implicit method and shows the reason behind which  the author uses it in her play "Pour un oui ou pour un non".

Résumé

L'implicite est une façon de parler indirectement dont les locuteurs utilise afin de faire entendre ou laisser entendre des messages cachés dans le but de ne pas s'exprimer directement et de laisser les coénonciateurs capter ces informations cachées. Dans ce cas-là, l'interlocuteur a besoin de lire entre les lignes pour savoir les vraies intentions du locuteur. D'ailleurs, l'implicite se manifeste sous deux formes : les présupposés et sous-entendus qui obéissent aux règles linguistiques et extralinguistiques. "Pour un oui ou pour un non" de Nathalie Sarraute a incarné ce concept à partir les échanges verbaux et non verbaux de ses personnages. Cette recherche vise à montrer comment les implicites sont utilisés dans pour un oui ou un non et pour quelles raisons.

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Publication Date
Wed Jun 22 2022
Journal Name
Arab Science Heritage Journal
تحقيق القسم الخامس من مخطوطة خبرة الفقهاء للفرغاني
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Publication Date
Sun Apr 28 2019
Journal Name
Arab Science Heritage Journal
تحقيق تحقيق القسم الثاني من مخطوطة خبرة الفقهاء
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In fact, the main idea of ​​the manuscript is to deal with  subdivision science of Islamic jurisprudence, it has a touch of ambiguity that attract all knowledge men , many students like to study it according to its ambiguity and trying to solve

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Publication Date
Mon Dec 20 2021
Journal Name
Baghdad Science Journal
Generative Adversarial Network for Imitation Learning from Single Demonstration
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Imitation learning is an effective method for training an autonomous agent to accomplish a task by imitating expert behaviors in their demonstrations. However, traditional imitation learning methods require a large number of expert demonstrations in order to learn a complex behavior. Such a disadvantage has limited the potential of imitation learning in complex tasks where the expert demonstrations are not sufficient. In order to address the problem, we propose a Generative Adversarial Network-based model which is designed to learn optimal policies using only a single demonstration. The proposed model is evaluated on two simulated tasks in comparison with other methods. The results show that our proposed model is capable of completing co

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Journal Name
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Sun Dec 30 2018
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Fri Jan 17 2014
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نصوص اقتصادية غير منشورة من أرشيف تورام ايلي
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Publication Date
Sun Apr 28 2019
Journal Name
Arab Science Heritage Journal
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Publication Date
Wed Dec 30 2015
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استخلاص وتنقية أنزيم الكايتنيز من خميرة Saccharomyces cerevisiae
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