
Ushbu maqolada sun’iy intellekt texnologiyalarining raqamli tilshunoslik rivojiga ta’siri tahlil qilinadi. Zamonaviy lingvistik tadqiqotlarda neyron tarmoqlar, tabiiy tilni qayta ishlash (NLP) va katta ma’lumotlar asosidagi usullar muhim o‘rin tutayotgani ko‘rsatib beriladi. Maqolada sun’iy intellekt yordamida matn tahlili, avtomatik tarjima, nutqni tanish va korpus yaratish imkoniyatlari yoritiladi. Shuningdek, raqamli tilshunoslikning istiqbollari va mavjud muammolari muhokama qilinadi. Tadqiqot natijalari lingvistika va texnologiya integratsiyasining yangi ilmiy yo‘nalishlarini ochib berishga xizmat qiladi.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
