MACHINE TRANSLATION SYSTEMS: CLASSIFICATION AND COMPARATIVE ANALYSIS

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

 

  1. 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).
  2. 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

2023-10-26