MASHINA TARJIMASI VA LINGVISTIK JARAYONLAR

Abstract

Machine translation (MT) systems are considered one of the most important areas of computational linguistics. The use of machine translation in linguistics has created numerous advantages. After the emergence of machine translation, the process of digitalization increased rapidly in all fields. In particular, the translation of machine translation systems to neural approaches has fundamentally transformed interlingual communication, translation processes and language learning.

Machine translation systems make it possible to create large scientific databases by using extensive corpora, advanced algoritms, artificial intelligence models. As a result, many practical linguistic tasks can be performed more efficiently and accurately. In addition, opportunities have emerged to conduct various corpus-based linguistic studies across different languages. Thus, machine translation is increasingly manifested as a practical outcome of the integration of computational linguistics, corpus research and artificial intelligence.