This article discusses the stages of the formation of machine translation. The concepts of automatic translation, translation memory, as well as types such as Rule-based machine translation, Example-based machine translation, Statistical-based machine translation, and Neuro-machine translation are analyzed. The scientific work done in the field of machine translation in Uzbekistan is also discussed. An analysis of the paratranslator platform created in Uzbek linguistics is also provided.
The Evolution Of Machine Translation
DOI:
Keywords:
Machine translation
translation memory
Rule-based machine translation
Abstract
References
Abdurakhmonova N. Linguistic support of machine translation. (Monography) – Tashkent, 2018.
Abdurakhmonova N. Computer linguistics. – Tashkent: Nodirabegim, 2021. –B.225.
Rahimov A. Fundamentals of computer linguistics. –T., 2011. – B.143.
Philipp Koehn. A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models. Machine Translation: From Real Users to Research 6th Conference of the Association for Machine Translation in the Americas, AMTA 2004. Washington, DC, USA, September/October 2004. – P. 65