Translation Technologies in the Artificial Intelligence Era: Historical Development and Classification

Abstract

In a globalized world that is increasingly connected, the translation market has grown significantly. The increase in market demand has led to a growing reliance on translation technologies by human translators, who now feel obliged to use them to keep pace and meet deadlines. The development of these tools has experienced exponential growth in recent years, driven by the introduction of Artificial Intelligence into the field of translation. Mastering the different types of tools and how to handle them is essential for efficient use. In this vein, the current study first aims to examine the historical development of translation technologies. Second, it seeks to provide a new classification of translation technologies that incorporates the latest trends in the field. It employs a qualitative method that involves collecting and analyzing data through a rigorous literature review. The results show that translation technology development began many centuries ago, but the boom occurred around the 1980s. Translation technologies can be classified into two large groups: Computer-Assisted Translation tools and Machine Translation systems. The study suggests that, since Artificial Intelligence-driven tools are used in translation, Artificial Intelligence should be classified as a type of translation technology.

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