نتایج جستجو برای: scientific and political texts

تعداد نتایج: 16864149  

Journal: :V mire nauchnykh otkrytiy 2014

Journal: :Advances in Language and Literary Studies 2019

2018
JAMES COSTA

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau...

2006
Thiago Alexandre Salgueiro Pardo Maria das Graças Volpe Nunes

This paper presents the review and evaluation of DiZer – an automatic discourse analyzer for Brazilian Portuguese. Based on Rhetorical Structure Theory, DiZer is a symbolic analyzer that makes use of linguistic patterns learned from a corpus of scientific texts to identify and build the discourse structure of texts. DiZer evaluation shows satisfactory results for scientific texts. In order to t...

Journal: :ادب عربی 0
قــاسم مخــتاری دانشیار دانشگاه اراک سجاد عربی کارشناس ارشد در رشته زبان و ادبیات عربی

intertextuality is a theory that by its entrance to the field of literary criticism caused excellent change in this field. according to this theory each composition, consciously or unconsciously is a birth and rereading of previous or contemporary composition. according to this theory, we saw many arabic texts that each of them in any kind or shape is in relation with classic arabic texts and –...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز - دانشکده ادبیات و زبانهای خارجی 1393

abstract in written mode of language, metadiscourse markers are used commonly to help writers in general and academic writers in particular to produce coherent and professional texts. the purpose of the present study was to compare introduction sections of applied linguistics and physics articles regarding their use of interactive and interactional metadiscourse markers based on the model pro...

Journal: :Journal of Education College Wasit University 2020

Journal: :Political Analysis 2021

Abstract We introduce and assess the use of supervised learning in cross-domain topic classification. In this approach, an algorithm learns to classify topics a labeled source corpus then extrapolates unlabeled target from another domain. The ability existing training data makes method significantly more efficient than within-domain learning. It also has three advantages over unsupervised model...

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