Towards Seamless Multilingual Communication: a Study of Machine Translation Systems

EasyChair Preprint 12208, version 1

Abstract

As the world becomes increasingly interconnected, the need for effective communication across language barriers has become paramount. Machine translation systems have emerged as pivotal tools in facilitating multilingual communication. This paper presents a comprehensive study aimed at understanding the current landscape of machine translation systems and their role in achieving seamless multilingual communication. The study begins by tracing the evolution of machine translation from rule-based approaches to the recent advancements in neural machine translation. Moreover, this study examines the impact of emerging technologies such as deep learning, reinforcement learning, and transfer learning on enhancing the capabilities of machine translation systems.

Keyphrases: machine, neural, translation

@booklet{EasyChair:12208,
  author    = {Kurez Oroy and Jane Smith},
  title     = {Towards Seamless Multilingual Communication: a Study of Machine Translation Systems},
  howpublished = {EasyChair Preprint 12208},
  year      = {EasyChair, 2024}}