© Media Watch 11 (3) 416-427, 2020
ISSN 0976-0911 | e-ISSN 2249-8818
The Structure of the Literary Problem in the Formation of the Local Text Substrate
Zhadyra A. Bayanbaeva1, Vladimir P. Sinyachkin2,
Bayan U. Dzholdasbekova3, and Uldanai M. Bakhtikireeva4
1,3Al-Farabi Kazakh National University, Republic of Kazakhstan
2,4Peoples’ Friendship University of Russia (RUDN University), Russian Federation
The article aims to study the structure of the literary problem in the formation of the local text substrate. The study uses the methodology of studying the language when it changes in time and space. The article explains the basics of the methodological support of the translation complex and the structure of its application in private studies of foreign cultures and communicants. The results of the study showed the possibility of interaction between the subjects of linguistic exchange and the dynamics of the translation and literary component. The novelty of the study is determined by the fact that the work defines methods that can be used not only by local researchers but also by foreign-speaking communicants. The research results can be used in practical activities to bridge the gap between understanding the local text in translation studies and its structuring in the local versions of individual authors.
Keywords: Communicative qualities, language changes, speech culture, structural activity, literary, text
Agerri, R., & Rigau, G. (2019). Language independent sequence labeling for opinion target extraction. Artificial Intelligence, 268, 85-95.
Ahmad, G., Singla, J., & Nikita, N. (2019). Review on sentiment analysis of Indian languages with a special focus on code mixed Indian languages. In 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019 (pp. 352-356). London. Retrieved from https://ieeexplore.ieee.org/document/8776796
Amemiya, S., Yamashita, H., Takao, H., & Abe, O. (2019). Integrated multi-echo denoising strategy improves identification of inherent language laterality. Magnetic Resonance in Medicine, 81(5), 3262-3271.
Araújo, M., Pereira, A., & Benevenuto, F. (2019). A comparative study of machine translation for multilingual sentence-level sentiment analysis. Information Sciences. Retrieved from https://www.sciencedirect.com/science/article/pii/S0020025519309879?via%3Dihub
Arceri, V., & Mastroeni, I. (2019). Static program analysis for string manipulation languages. Electronic Proceedings in Theoretical Computer Science, EPTCS, 299, 19-33.
Barnes, J., & Klinger, R. (2019). Embedding projection for targeted cross-lingual sentiment: model comparisons and a real-world study. Journal of Artificial Intelligence Research, 66, 691-742.
Bonyadi, A. (2019). Discourse analysis and language pedagogy. Journal of Teacher Education for Sustainability, 21(1), 128-136.
Branco, A. (2019). We are depleting our research subject as we are investigating it: in language technology, more replication and diversity are needed. In LREC 2018 – 11th International Conference on Language Resources and Evaluation (pp. 140-145). Miyazaki: European Language Resources Association. Retrieved from https://www.aclweb.org/anthology/L18-1022/
Bryfonski, L., & McKay, T. (2019). TBLT implementation and evaluation: a meta-analysis. Language Teaching Research, 23(5), 603-632.
Chang, C.H., Wu, M.L., & Hwang, S.-Y. (2019). An approach to cross-lingual sentiment lexicon construction. In Proceedings – 2019 IEEE International Congress on Big Data, BigData Congress 2019 – Part of the 2019 IEEE World Congress on Services (pp. 129-131). DOI: 10.1109/BigDataCongress.2019.00030
Chen, G., Wang, Y., Zhou, M., & Sun, J. (2019). VFQL: combinational static analysis as query language. In ISSTA 2019 – Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 382-385). DOI: 10.1145/3293882.3338997
Dhanjal, A., & Singh, W. (2019). Comparative analysis of sign language notation systems for Indian sign language. In 2019 2nd International Conference on Advanced Computational and Communication Paradigms, ICACCP 2019. Retrieved from https://ieeexplore.ieee.org/document/8883009
Djatmiko, F., Ferdiana, R., & Faris, M. (2019). A review of sentiment analysis for non-English language. In Proceeding – 2019 International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019 (pp. 448–451). Yogyakarta: IEEE. Retrieved from https://ieeexplore.ieee.org/document/8834552
Dura, A., Balldin, H., & Reichenbach, C. (2019). MetaDL: analyzing datalog in datalog. In Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) (pp. 38–43). New York. Retrieved from: https://dl.acm.org/citation.cfm?doid=3315568.3329970
Eilertsen, A., Rose, D., Erichsen, P., Christensen, R., & Nath, R. (2019). Languages’ impact on emotional classification methods. Annals of Computer Science and Information Systems, 18, 277–286. DOI: 10.15439/2019F143.
Fehrenbach, S., & Cheney, J. (2019). Language-integrated provenance by trace analysis. In Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (pp. 74–84). New York. Retrieved from https://dl.acm.org/citation.cfm?doid=3315507.3330198
Fernau, H. (2019). Modern aspects of complexity within formal languages. In International Conference on Language and Automata Theory and Applications (pp. 3–30). Retrieved from: https://link.springer.com/chapter/10.1007%2F978-3-030-13435-8_1
Ivaschenko, I. (2020). Relevance of I. Kant. Retrieved from: https://day.kyiv.ua/uk/blog/suspilstvo/aktualnist-kanta
Jarvis, E. (2019). Evolution of vocal learning and spoken language. Science, 366(6461), 50–54.
Kameneva, N. (2019). Analysis of lexical features of the Russian and English languages in the sphere of information technologies. Russian Journal of Linguistics, 23(1), 185–199.
Koolen, C., van Dalen-Oskam, K., van Cranenburgh, A., & Nagelhout, E. (2020). Literary quality in the eye of the Dutch reader: The National Reader Survey. Poetics, 101439.
Londhe, D., Kumari, A., & Emmanuel, M. (2019). Language identification for multilingual sentiment examination. International Journal of Recent Technology and Engineering, 8(2/11), 3571–3576.
Mathur, T.G. (2017). Media literacy in a mediated society: The Indian context. Media Watch, 8(2), 38-46. DOI: 10.15655/mw/2017/v8i1A/48937
Mukherjee, S. (2017). Sustenance of Native Culture in Multilingual Written Texts: A Case Study of The God of Small Things and The Hungry Tide. Media Watch, 8(3), 378-387.
Zhadyra A. Bayanbaeva (Ph.D. in Philology) is an Associate Professor in the Department of Russian Language and World Literature at Al-Farabi Kazakh National University. Her academic directions are social communication, media studies, and intercultural communication.
Vladimir P. Sinyachkin (Full Doctor in Philology) is Head of the Department of Russian Language and Intercultural Communication at Peoples’ Friendship University of Russia (RUDN University). His area of academic interest includes problems of media linguistics, modern methods, and innovative technologies of teaching foreign languages.
Bayan U. Dzholdasbekova (Full Doctor in Philology) is Head of the Department of Russian Language and World Literature at the Al-Farabi Kazakh National University. Her interests concentrate on professional communication research, linguistic and systematic analysis of the vocabulary.
Uldanai M. Bakhtikireeva (Full Doctor in Philology) is a Professor in the Department of Russian Language and Intercultural Communication at the Peoples’ Friendship University of Russia (RUDN University). Her research interests are nonverbal communication and translation of the Russian language, scientific speech, and the basis of the philologist’s scientific work.