Arising reading patterns in understanding literary texts
نویسندگان
چکیده
منابع مشابه
Literary Figures in Gāthic Texts
Introduction Gāthic texts are a collection of religious songs of Zarothustra who lived about 1200 BC. Of the seventy two hāts (stanzas) of Yasna (one of the five chapters of Avesta), seventeen hāts belong to five Gāthas. These seventeen hāts have been classified into five categories based on their syllabic meter and the number of the song: 1) ahunavaiti, 2) ushtavaiti, 3)spanta.mainyu, ...
متن کاملAnnotating Similes in Literary Texts
Annotated corpora are invaluable resources for researchers in the humanities: on the one hand, for natural processing tasks, they can serve as standards against which results from new automatic methods can be measured; on the other hand, in corpus-based studies, they enable either to answer existing research questions or to explore original ones. In this respect, some annotation frameworks such...
متن کاملthe effect of genre-based teaching on reading comprehension of literary texts
تحقیق حاضر به بررسی کاربرد روش ژانر-محور را در محیط آموزش زبان عمومی می پردازد.روش ژانر-محور به زبان آموزان کمک میکند که در زمینه خوانش پیشرفت کنند. بعضی از محققین معتقد اند که روش تدریس ژانر-محور به تدریج به زبان آموزان کمک می کند تا در درک ژانر های مختلف مهارت یابند (هایلند 2004).همچنین امروزه توجه روز افزونی به اهمیت استفاده از ادبیات در برنامه آموزشی زبان انگلیسی (esl/efl ) شده است. زمانی ک...
15 صفحه اولUsing Visual Aids as a Motivational Tool in Enhancing Students Interest in Reading Literary Texts
This study aims to investigate the teachers’ perceptions on the use of visual aids (e.g., animation videos, pictures, films and projectors) as a motivational tool in enhancing students’ interest in reading literary texts. To achieve the aim of the study, the mixed-method approach was used to collect the required data. Therefore, 52 English teachers from seven national secondary schools in Kapit...
متن کاملIdentifying Literary Texts with Bigrams
We study perceptions of literariness in a set of contemporary Dutch novels. Experiments with machine learning models show that it is possible to automatically distinguish novels that are seen as highly literary from those that are seen as less literary, using surprisingly simple textual features. The most discriminating features of our classification model indicate that genre might be a confoun...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Studies in English Language and Education
سال: 2020
ISSN: 2461-0275,2355-2794
DOI: 10.24815/siele.v7i2.16663