SEMANTIC ISSUES IN MACHINE TRANSLATION

Authors

  • Gohar GHALACHYAN Yerevan State University

DOI:

https://doi.org/10.46991/FLHE/2014/18.2.011

Keywords:

Semantic Machine Translation, Statistic Machine Translation, meaning, context, word-for-word translation

Abstract

Machine Translators are gaining wider usage in the world nowadays. Along with the growth of the use of Machine Translators, the demand to make them more perfect is also increasing, which in its turn implies growth of the problems and difficulties occurring in the process of development. Semantic, syntactic, cultural and social differences of languages highlight these problems more explicitly and make the solutions even more difficult.

Downloads

Published

2023-01-04

Issue

Vol. 18 No. 2 (17) (2014)

Section

Linguistics

License

Copyright (c) 2023 Gohar GHALACHYAN

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.