A Study of the Assistive Nature of Artificial Intelligence Technology for Japanese Translation and Interpretation

[1] Mon, Y. Y., Lim, S., & Kakinaka, M. (2019). Multiplex relations between states: coevolution of trade agreements and political alliances. Sustainability, 11. Search in Google Scholar

[2] Forsberg, S. (2019). Setting a global agenda of education: cooperation and tension within the global education policy field. Geoforum, 100(MAR.), 32-40. Search in Google Scholar

[3] Sandano, I. A. (2022). Nontraditional security diplomacy between china and japan. The Korean journal of defense analysis. Search in Google Scholar

[4] Zheng, L. I., Youde, W. U., Liao, Y., & Pingping, H. U. (2020). The participation characteristics and coupling relationship of china, japan and south korea in the asean manufacturing value chain: empirical research based on tiva database. Geographical Research, 39(3), 539-553. Search in Google Scholar

[5] Sevens, L., Vandeghinste, V., Schuurman, I., & Van Eynde, F. (2018). Less is more: a rule-based syntactic simplification module for improved text-to-pictograph translation. Data & Knowledge Engineering, 117(SEP.), 264-289. Search in Google Scholar

[6] Seki, K. (2020). Cross-lingual text similarity exploiting neural machine translation models. Journal of Information Science, 47(3), 016555152091267. Search in Google Scholar

[7] Olalla-Soler, C. (2019). Applying internalised source-culture knowledge to solve cultural translation problems. a quasi-experimental study on the translator’s acquisition of cultural competence. Nature reviews neuroscience, 20(2). Search in Google Scholar

[8] Pollali, C. S., & Sidiropoulou, M. (2021). Identity formation and patriarchal voices in theatre translation. Journal of Pragmatics, 177(4–5), 97-108. Search in Google Scholar

[9] Tesseur, W. (2021). Translation as inclusion?:an analysis of international ngos’ translation policy documents. Language Problems and Language Planning, 45(3), 261-283. Search in Google Scholar

[10] Proshina, Z. G. (2018). Intervarietal translation and the theory of intelligibility. World Englishes, 37(3), 503-510. Search in Google Scholar

[11] Shuchen, J. (2017). Translating japan: the changing translation modes of japanese anime and the imagination of a foreign nation. Cultural Studies. Search in Google Scholar

[12] Revell, T. (2018). Code-cracking ai could unlock robot translation. New Scientist, 237(3162), 7-7. Search in Google Scholar

[13] Zhao, X., & Jiang, Y. (2022). Synchronously improving multi-user english translation ability by using ai. International Journal on Artificial Intelligence Tools. Search in Google Scholar

[14] Rustam, S., Ai, S., & Yueh-Min, H. (2019). A study of the facilitation of cross‐cultural understanding and intercultural sensitivity using speech‐enabled language translation technology. British Journal of Educational Technology, 50. Search in Google Scholar

[15] Guo, Z., & Jifeng, Z. (2020). Japanese translation teaching corpus based on bilingual non parallel data model. Journal of Intelligent and Fuzzy Systems, 40(5), 1-11. Search in Google Scholar

[16] Song, G. (2021). Accuracy analysis of japanese machine translation based on machine learning and image feature retrieval. Journal of Intelligent and Fuzzy Systems, 40(2), 2109-2120. Search in Google Scholar

[17] Liu, C. (2022). Machine translation of scheduling joint optimization algorithm in japanese passive statistics. Scientific Programming. Search in Google Scholar

[18] Gyogi, E. (2019). Translating ‘japanese culture’: a discourse approach to teaching culture. Nature reviews Cancer, 19(2). Search in Google Scholar

[19] Xiong, K., Verdonschot, R. G., & Tamaoka, K. (2020). The time course of brain activity in reading identical cognates: an erp study of chinese - japanese bilinguals. Journal of Neurolinguistics, 55, 100911. Search in Google Scholar

[20] Han, Y. (2021). Feature recognition of spoken japanese input based on support vector machine. Journal of Intelligent and Fuzzy Systems, 40(2), 2181-2192. Search in Google Scholar

[21] Etemad, T. P. (2020). Check the grammar of your translation: the usefulness of whitesmoke as an automated feedback program. Digital Scholarship in the Humanities. Search in Google Scholar

[22] Chon, Y. V., Shin, D., & Kim, G. E. (2020). Comparing l2 learners’ writing against parallel machine-translated texts: raters’ assessment, linguistic complexity and errors - sciencedirect. System. Search in Google Scholar

[23] Wei, Z. (2021). Machine translation and global research: towards improved machine translation literacy in the scholarly community. lynne bowker and jairo buitrago ciro. Digital Scholarship in the Humanities. Search in Google Scholar