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Register a new userThe importance of the story title and its significance in children's stories
شعرية العنوان في القصص الموجهة إلى الطفل
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Damascus University ورقة بحثية
Publication date
2009
fields
Arabic
and research's language is
العربية
Authors
عائشة يوسف رماش( باحث )
Created by
Shamra Editor
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تحاول الدراسة أن تقف على مكانة العنوان و أهميته في قصة الطفل، و تستجلي دلالته على الموضوع، مع الإشارة إلى منابع عناوين قصص الأطفال و مصادرها، من خلال دراسة نقدية لمجموعة من قصص الأطفال في الوطن العربي.
This study tries to show the importance of the story title and its significance in children's stories. It displays the sense of the subject and point to the resources of titles of the children's stories, through critical studying of groups of children's stories in the Arab world.
References used
Delacroix, Maurice et autres, méthode du texte, introduction aux études littéraires, Duculot Gembloux , Paris 1987
Gérard Genette, Seuils, édition de Seuil, Paris, 1987
البستاني، بشرى، قراءات في الشعر العربي الحديث، دار الكتاب العربي بيروت، . لبنان، ط1, 2002
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The contemporary interest has increased with the titles, so that some researchers
considered the titles as mini texts which contribute in forming a primary opinion that
motivate the reader and guide him to some meaning that the authors referring to
, and other
researchers considered the titles just a hypothesis for reading, not prejudice, because it
might lead the reader towards the meaning directly, and it might deceive and mislead him
as well, which make the creative texts poetically bigger and richer, and in both cases the
title remains the first textual episode that the reader’s awareness meet with the creative
text, regardless the type of the titles: realistic, equivocation, symbolism and others.
My choice has fallen into this research because of the variety that Ghassan Wannous
text stories’ have shown, which indicates the awareness of the writer about the importance
of the titles, and the role it might perform in serving the textual meaning, and this is what
this research aspires to approach and highlights.
يشمل الفضاء الطباعي "النَّصي" طريقة تصميم الغلاف, و وضع المطالع و الخواتيم, و تنظيم الفصول, و تشكيل العنوانات... و غيرها. و هو يفتح أفقاً تأويلياً للبحوث الأدبية, كهذا البحث الذي يحاول إظهار أهميَّة الأثر الكتابي من نوع الخط, و الألوان, و النسق التتا
بعي, و البياض, و السواد, و تصميم الصفحة, في إذكاء خيال المتلقي.
و يؤكد البحث أن عملية اختيار العنوان هي أعقل مرحلة يمر بها صاحب النَّص, و لقد احتلَّ مكانة خاصة في ساحات الإبداع الأدبي, مما جعل الحاجة ملحَّة لوضع علم خاص به, و مستقل, هو "علم العنونة".
و يأتي هذا البحث بوصفه محاولة في قراءة كتاب "سيَّاف الزهور" لمحمد الماغوط باستخدام كل تلك الأدوات الإجرائية, مع محاولة التقيد بحدود ما تسمح به اللياقة الأدبيَّة, و المعرفة السليمة المبنيَّة على ما يقوله النَّص, فلا يجبره على ما ليس فيه.
Using topic modeling and lexicon-based word similarity, we find that stories generated by GPT-3 exhibit many known gender stereotypes. Generated stories depict different topics and descriptions depending on GPT-3's perceived gender of the character i
n a prompt, with feminine characters more likely to be associated with family and appearance, and described as less powerful than masculine characters, even when associated with high power verbs in a prompt. Our study raises questions on how one can avoid unintended social biases when using large language models for storytelling.
The study aimed to: develop a list of educational values to be met
in the stories for the children of Riyadh and in the light of national
standards, also aimed to find out the role of the stories in the
promotion of values.
Story visualization is an underexplored task that falls at the intersection of many important research directions in both computer vision and natural language processing. In this task, given a series of natural language captions which compose a story
, an agent must generate a sequence of images that correspond to the captions. Prior work has introduced recurrent generative models which outperform text-to-image synthesis models on this task. However, there is room for improvement of generated images in terms of visual quality, coherence and relevance. We present a number of improvements to prior modeling approaches, including (1) the addition of a dual learning framework that utilizes video captioning to reinforce the semantic alignment between the story and generated images, (2) a copy-transform mechanism for sequentially-consistent story visualization, and (3) MART-based transformers to model complex interactions between frames. We present ablation studies to demonstrate the effect of each of these techniques on the generative power of the model for both individual images as well as the entire narrative. Furthermore, due to the complexity and generative nature of the task, standard evaluation metrics do not accurately reflect performance. Therefore, we also provide an exploration of evaluation metrics for the model, focused on aspects of the generated frames such as the presence/quality of generated characters, the relevance to captions, and the diversity of the generated images. We also present correlation experiments of our proposed automated metrics with human evaluations.
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