Authors
Soliev P.A. – Assistant, Polytechnic Institute of Tajik Technical University
Turakhonov M.I. – Assistant, Department of Programming and Information Technologies, Polytechnic Institute of Tajik Technical University
Аnnotation
The article compares and classifies the machine translation systems of Statistical Machine Translation, Rule-Based Machine Translation and Neural Machine Translation, their advantages and disadvantages. The article is written on the basis of the project «Development of a Tajik translator based on Google technology» – № 0117TJ00800. As a result of the comparative analysis of the machine translation systems of Statistical Machine Translation, Rule-Based Machine Translation, Neural Machine Translation and the capabilities of Google technology on the basis of project № 0117TJ00800, it is recommended to develop a Tajik translator based on Google’s technology using the Statistical Machine Translation system.
Key words
machine translation systems, SMT, RBMT, NMT, classification, comparative analysis, system advantage, system disadvantages.
References
- How to defeat murnikov: Yandex has launched a hybrid, and pens and systems [electronic Source]. – Access method: https://yandex.ru/blog/company/kak-pobedit-mornikov-yandeks-zapustil-gibridnuyu-sistemu-perevoda free. Russian language. (date of the application 20.09.2017).
- A Comparative analysis of machine translate [electronic Source]. – Access method: http://conf.omua.ru/content/sravnitelnyy-analiz-sistem-mashinnogo-perevoda free. Russian language. (date of the application 21.09.2017).
Publication date