نتایج جستجو برای: target text

تعداد نتایج: 556738  

Leila Barati Reza Biria

Linguistic information can be conveyed in the form of speech and written text, but it is the content of the message that is ultimately essential for higher-level processes in language comprehension, such as making inferences and associations between text information and knowledge about the world. Linguistically, inference is the shovel that allows receivers to dig meaning out from the text with...

Masoud Sharififar Sara Zandian

This article was written based on the key concept of polysystem theory which, in translating any literary text, emphasizes the transference of the social systems in which a text is embedded. As stated by Tynjanov (1978a), polysystem theory saw translated literature as a system operating in the larger social systems of the target text. Thus, the task of understanding as well as transferring such...

2016
Pushpak Bhattacharyya Mitesh M. Khapra Anoop Kunchukuttan

Language­independent Statistical Machine Translation (SMT) has proven to be very challenging. The diversity of languages makes high accuracy difficult and requires substantial parallel corpus as well as linguistic resources (parsers, morph analyzers, etc.). An interesting observation is that a large chunk of machine translation (MT) requirements involve related languages. They are either : (i) ...

Mohammad Reza Hasannejad Mohammad Reza Mollahosainy

The effect of error feedback on the accuracy of output task types such as editing task, text reconstruction task, picture cued writing task, and dictogloss task, has not been clearly explored. Following arguments concerning that the combination of both corrective feedback and output makes it difficult to determine whether their effects were in combination or alone, the purpose of the present st...

Journal: :LDV Forum 2005
Stephan Bloehdorn Philipp Cimiano Andreas Hotho Steffen Staab

Structuring of text document knowledge frequently appears either by ontologies and metadata or by automatic (un-)unsupervised text categorization. This paper describes our integrated framework OTTO (OnTology-based Text mining framewOrk). OTTO uses text mining to learn the target ontology from text documents and uses then the same target ontology in order to improve the effectiveness of both sup...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه امام رضا علیه السلام - دانشکده ادبیات و زبانهای خارجی 1391

translation studies have become an accepted academic subject and books, journals and doctoral dissertations appear faster than one can read them all (bassnet and lefevere, 1990). but this field also brought with itself so many other issues which needed to be investigated more, in the heart of which, issues like ideology, ethics, culture, bilingualism and multilingualism. it is reported that ove...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه اراک - دانشکده علوم انسانی 1389

abstract this study examines the relationship between reading anxiety and difficulty of texts as well as the relationship between reading anxiety and students perceived difficulty of the texts. since difficulty is a relative concept, i limited its definition by sticking to the readability formula. we also took students perceived difficulty levels into account. therefore, in the present study, ...

Journal: :پژوهش های زبانی 0
سید فاطمه موسوی دانشجوی دکتری فرهنگ و زبان های باستانی دانشگاه تهران

cognitive science has found out that languages typically make use of conceptual metaphors to concretize abstract meanings. conceptual metaphor explains a target domain which is abstract via a source domain which is concrete. in other words, conceptual metaphor compares an abstract domain with a concrete one and thus makes it understandable for listeners/readers. this article studies the concept...

2003
Zhen-Long Bai Qiang Huo

In this paper, we present a new approach to extracting the target text line from a document image captured by a pen scanner. Given the binary image, a set of possible text lines are first formed by nearest-neighbor grouping of connected components (CC). They are then refined by text line merging and adding the missed CCs. The possible target text line is identified by using a geometric feature ...

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