The thematic and information structure of scientific and technical texts are arguably different among languages. This study examines the thematic structure of scientific texts in English and Arabic to see the differences in the hierarchical organization at different thematic levels. It adopts Halliday's functional model of theme-rheme and applies…

This study seeks to contribute to addressing a gap in theory-driven corpus-based research focused on the so-called translation specific features (TSF) in Arabic translated texts. It provides a contrastive Systemic Functional Linguistics (SFL)-informed analysis of concessive/contrastive connective markers in a selected comparable corpus made up of…

This study aims to evaluate the translation quality of two machine translation systems in translating six different text-types, from English to Persian. The evaluation was based on criteria proposed by Van Slype (1979). The proposed model for evaluation is a black-box type, comparative and adequacy-oriented evaluation. To conduct the evaluation, a…

Artificial Intelligence or AI as it is popularly known and its corollary, Machine Translation (MT) have long engaged scientists, thinkers and linguists alike in the twenty first century. However, the wider question that lies in the relation between technology and translation is, What does technology do to language? This is an important question in…