The practical idea of using computers to translate human languages is old. Thorough research over the past seven decades has significantly helped evolve Machine Translation (MT). It was long believed that computer translation systems could not achieve the authenticity of human translation. However, in the past few years, Machine Translation has evolved immensely and has leapt.
Discovered back in the 1950s, it has achieved accuracy and proved to be time efficient, which helps attain tangible results. Machine Technology (MT) is the technology that enables the translation of languages using specific analysis without any human intervention.
Today, three primary forms of Machine Translation (MT) are used, which include:
Rule-Based Machine Translation (RBMT): This form of MT can be used in simple status quo and renders assistance when the meaning is needed.
Statistical Machine Translation (SMT): A statistical model establishing the relationship amongst phrases, sentences and words are established that is used to convert the given elements into a new language.
Neural Machine Translation (NMT): New technological aids like Artificial Intelligence (AI) are used to learn languages and improve the existing knowledge similar to that of a human brain. This form of MT is accurate, quicker and lucid to use.
Owing to globalization and technological advancements, Machine Translation will be an exemplary solution for businesses and individuals in the future. It will further continue to be efficient, robust, and a dynamic source of translation.
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