Machine Translation (Mt) Is Slower and Less Accurate

Machine translation (MT) is slower and less accurate than human translation, and there is no immediate or predictable likelihood of machines taking over this role from humans. Do you agree or disagree?

Automated conversation of language is lazy like a snail and flaw full than human translation. However, this field may not be able to snatch human’s jobs. I believe machine translation is much faster and flawless than any human’s mind. Firstly, this essay shall discuss how machine technology can help solve international issues and their impact globally. Secondly, It will argue that humans tendcy to make more errors than machines.

Machine translation is one of the integral inventions of human productivities as it can make a bridge between two nations with all the easiness. In the early days of human lives, they had to learn and spread awareness of such languages. However, the knowledge and learning process was quite restricted and less efficient. At the global level, many higher authorities attract each other with the help of this machine process instead of waiting for the interpreter to translate things for them. For instance, in the old days, the Indian prime minister attended international meetings with interpreters to understand and answer their requirements. Still, these days we have technology that has replaced and smoothen the process for all. Thus, machines can help us to translate things fast and make things better for both parties.

Moreover, we have seen the accuracy of machines is more reliable and perfect than individuals as machines are coded and delivered with proper punctuations than humans, which is majorly more impactful than anything else. For example, last decade, in the UN meeting, one of the members forgot the proper meaning of things, which mortified the president of the respective nation. Therefore, using machine translation can be a wise act than the human brain.

To conclude, human language knowledge is restricted, but it has to address some challenges and issues to overcome this technology, which is evidently way better in comparison.
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