DEVELOPING DATABASES-DRIVEN WRITING FOR WRITING ACADEMIC PAPERS BY IRANIAN ACADEMIC MEMBERS

Iranian academicians cannot usually express their own findings within particular discipline domain because there are particular gaps between what is traditionally known and what is expected in the academic writing situation. This paper has been developed to help Iranian academic members, who are nonnative speakers of English, regularly find the writing of English paper a very challenging affair. On the other hand, candidates in this study are adults, fully occupied and workshops/overseas presentations have proved to be not enough effective instruments to shift them toward authentic writing, database-driven writing seems to work. Therefore, it seems databases for Iranian academicians in English for academic purposes should be developed to help individual academic members to know musts and musts not in their academic writing. These searchable databases must be designed in such a way that satisfies the constructivists’ requirements for learner- autonomy and learner- orientation. Data elicited based on online interview and corpora analysis in form of CBDTS (corpus based descriptive translation studies) - on micro and macro levels, are put into matrices and their analyses are supportive of academicians’ reliance on different types of mental translation use and their shift toward authentic writing after receiving feedback from searchable online databases.