Corpus based investigating of cohessive patern in scientific discourse in persian: Applied approach in teaching persian for academic purposes

Research shows that scientific language, in addition to having specific vocabulary, has syntactic and structural features that distinguish it from general language. academic texts play an important role in identifying these features and extracting frequency patterns from linguistic structures. Therefore, the present study was conducted to investigate the patterns of coherence to the text in accordance with the coherence concept proposed in the systematic orthographic system with the aim of application in Persian language teaching for academic purposes. So a corpus of academic texts in the two disciplines of social sciences and biology, which consisted of a volume of 21133 and 19131 words, respectively, coherent patterns were extracted. The results showed that at the lexical level, the elements of repetition, co-occurrence, semantic inclusion, contradiction and synonymy and at the grammatical level, the elements of reference, substitution and omission are among the factors of coherence in scientific Persian. Dar confirmed the difference in distribution and frequency of these elements. The results showed that, in general, in scientific Persian language, lexical elements play a greater role in the coherence of texts than grammatical elements. It was also found that at the lexical level, the two elements of concurrence and repetition in the social sciences and biology texts, respectively, and at the grammatical level, the two elements of personal reference in the social science texts and reference references in biology are the most used. Another result was less use of the element of omission in both scientific disciplines than in other elements.