first, fairclough has considered the concrete texts in a linguistic position, then identified discourses which is based on the text and finally describe their dependency to micro social theories. his purpose has been to aware consumer of media texts in critical language. every text leads readers towards an understanding of certain facts. the main concern of fairclough has been the identificatio...

Parallel text is one of the most valuable resources for development of statistical machine translation systems and other NLP applications. The Linguistic Data Consortium (LDC) has supported research on statistical machine translations and other NLP applications by creating and distributing a large amount of parallel text resources for the research communities. However, manual translations are v...

The present study aimed to investigate the translation into English by Alaeddin Pazargadi of Parvin E’tesami’s poems; in particular, it attempted to analyze the structural elements such as verbs, nouns, pronouns, adjectives, adverbs, articles, conjunctions, prepositions, and interjections in them. Considering the relationship between Linguistics and Translation Studies, the theoretical framewor...

A new approach for an efficient text analyser is proposed. The prosody generator-driven method is employed to design an efficient text analyser for Mandarin text-to-speech. More simple structure of text analysis, more suitable classification of linguistic features and more efficient contribution of linguistic features to the prosody generator can be achieved. Three heuristic and theoretical met...

Linguistic steganography is a branch of Information Hiding (IH) using written natural language to conceal secret messages. It plays an important role in Information Security (IS) area. Previous work on linguistic steganography was mainly focused on steganography and there were few researches on attacks against it. In this paper, a novel statistical algorithm for linguistic steganography detecti...

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<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: -webkit-left; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; ba...