Adversative Discourse Markers in Kurdish 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 کاملinvestigation of (meta)discourse markers in elt coursebooks
the present study aimed to investigate representation of discourse markers and metadiscourse markers in conversations and readings of general elt coursebook series used in the language centers of iran. to this aim, four elt coursebooks popularly taught in language centers of this country were analyzed based on fung and carter’s (2007) framework regarding discourse markers and hyland’s (2005) fr...
Annotating 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 کاملMultiple Responses through Verbal Discourse in the Reading of Literary Texts
The past decade has viewed the important role literature plays in enhancing the learning process among students in Malaysian English classrooms. However, most English teachers in particular are not prepared to teach literature due to the lack of training and exposure on the subject. This paper seeks to explore the ways teacher trainees from one teacher training institute attempt to provide mult...
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: English Language Teaching
سال: 2018
ISSN: 1916-4750,1916-4742
DOI: 10.5539/elt.v12n1p154