The Various and Multiple Uses of Machine Translation: A Theoretical Account

Abstract

Despite a few remaining naysayers, Machine Translation is used by many people now as a productivity tool, with obvious success. Though there has been already a variety of uses, yet, more of them are emerging where machine translation is the only solution. This paper presents the case for machine translation, describes its impact on the translator and demonstrates a need for customizable levels of quality rather than a 'one size fits all' solution.

    Machine translation is a subfield of artificial intelligence and computational linguistics that focuses on the development of algorithms and systems and qualifies them to automatically translate text or speech from one language into another. The goal of machine translation research is to enable computers to produce translations that are as accurate and fluent as those produced by human translators. Machine translation has a wide range of applications and uses that aim at facilitating communication and information exchange between people who speak different languages by improving the efficiency and speed of translation tasks, as well as reducing the cost of translation services. However, there are also challenges and limitations to the use of machine translation, specifically the need for large amounts of training data and the potential for errors and mistranslations. Therefore, machine translation, through its varied uses, aims at addressing these challenges and accordingly developing more accurate and effective translation systems.