INSON VA SINIFIY TA'SIRLARIDA YARATILGAN AKADEMIK TARJIMALARDA KONTEKSTUAL MA'NO VA IMPLIKATURA O'TKAZISH
DOI:
https://doi.org/10.69691/g2wb9576Kalit so‘zlar:
kontekstual ma'no; implikatura; sun'iy intellekt tomonidan yaratilgan tarjima; akademik nutq; pragmatik adekvatlik.Annotatsiya
Akademik tarjimada sun'iy intellekt (AI) dan tobora ko'proq foydalanish ma'no uzatish sifatiga oid muhim savollarni tug'dirdi. Sun'iy intellekt tomonidan yaratilgan tarjimalar ko'pincha grammatik aniqlik va leksik tabiiylikni namoyish etsa-da, inson tarjimasiga nisbatan kontekstual ma'no va implikatura qanday qayta tiklanishiga kamroq e'tibor qaratildi. Ushbu tadqiqot akademik abstraktlarning inson va AI tomonidan yaratilgan tarjimalarida kontekstual ramkalash va implikatura o'tkazilishini o'rganadi. Tarjimaga pragmatik nazariya va funksionalistik yondashuvlarga tayanib, tadqiqot lingvopragmatik tahlilga asoslangan sifatli qiyosiy dizaynni qo'llaydi. 10-15 ta akademik abstraktdan iborat korpus inson tarjimonlari va AI asosidagi tizim tomonidan mustaqil ravishda tarjima qilindi va implikatura misollari kontekstual adekvatlikka nisbatan aniqlandi va tahlil qilindi.
Topilmalar tarjima usullari o'rtasidagi tizimli farqlarni ochib beradi. Sun'iy intellekt tomonidan yaratilgan tarjimalar ko'pincha kontekstual ramkalash o'zgarishlarini, implikatura yo'qolishini va ekspressiya orqali implikaturaning kuchayishini namoyish etadi. Lingvistik jihatdan ravon bo'lishiga qaramay, bunday tarjimalar inferentsial rekonstruksiya o'rniga ehtimollik assotsiatsiyasi orqali kontekstual ma'noga yaqinlashishga moyildir. Inson tarjimalari, aksincha, intizomiy pozitsiyalash, epistemik kalibrlash va nutq izchilligiga nisbatan ko'proq sezgirlikni namoyish etadi. Tadqiqot akademik kontekstlarda tarjima yetarliligi asosan rasmiy ekvivalentlikka emas, balki pragmatik qayta qurishga asoslanganligini ta'kidlaydi. Ushbu topilmalar tarjima nazariyasiga hissa qo'shadi va ilmiy muloqotda sun'iy intellekt yordamida tarjimaning cheklovlari va undan to'g'ri foydalanish haqida tanqidiy tushuncha beradi.
Iqtiboslar
1. Baker, M. (2018). In other words: A coursebook on translation (3rd ed.). Routledge.
2. Grice, H. P. (1975). Logic and conversation. In P. Cole & J. L. Morgan (Eds.), Syntax and semantics: Vol. 3. Speech acts (pp. 41–58). Academic Press.
3. Hatim, B., & Mason, I. (1997). The translator as communicator. Routledge.
4. House, J. (2015). Translation quality assessment: Past and present. Routledge.
5. Hyland, K. (2005). Metadiscourse: Exploring interaction in writing. Continuum.
6. Kenny, D. (2022). Machine translation for everyone: Empowering users in the age of artificial intelligence. Language Science Press.
7. Koehn, P. (2020). Neural machine translation. Cambridge University Press.
8. Levinson, S. C. (1983). Pragmatics. Cambridge University Press.
9. Moorkens, J. (2018). What to expect from neural machine translation: A practical in-context analysis of NMT outputs. The Translator, 24(3), 241–257. https://doi.org/10.1080/13556509.2018.1518260
10. Nord, C. (1997). Translating as a purposeful activity: Functionalist approaches explained. St. Jerome Publishing.
11. Reiss, K. (2000). Translation criticism: The potentials and limitations. St. Jerome Publishing. (Original work published 1971)
12. Toury, G. (1995). Descriptive translation studies and beyond. John Benjamins.
Yuklab Olishlar
Nashr qilingan
Litsenziya
Mualliflik huquqi (c) 2026 Journal of Tamaddun Nuri
Ushbu ish Creative Commons Attribution-NoDerivatives 4.0 International License ostida litsenziyalangan.
