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?

Machines and specially computers are involved in almost everything we do these days. One of the areas that machines got profoundly involved in recent years is

translation

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. Some people

however

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think that there is a huge gap between the speed and accuracy of

translation

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from machines and humans.

Although

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machines may not be as

good

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well

as humans in all aspects of

translation

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at the moment, but I believe in a not so far future

this

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job will be dominated by machines. Hereby I explain my viewpoints.

First

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of all,

although

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machine

translation

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, known as MT, may not be able to produce the same accuracy as human

translation

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does, but it definitely wins the race

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on

speed. Machines can translate almost any article in a blink of an eye.

For example

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, Google Translate can translate everything in a

fractions

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fraction

of a

second

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.

Thus

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, machines are not only not behind from humans in

factor

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the factor

of

pace but

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pace, but

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they are already ahead.

Secondly

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, it is understandable that machines may lack some deep knowledge require for

translation

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of some more complex writings.

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, articles in literature or philosophy may not receive a high quality

translation

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from a machine comparing with a human work.

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, with the upcoming expansion in the machine learning area, along with the advent of mega-processors and “

exadata

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Exadata

exudate

” databases, soon machines not only will be able to close the gap to humans but

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will be better than humans by far. As an instance, scientists already have built machines, advanced enough to detect voice or read facial expression of

human

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humanity

. So it won’t be surprising to see machines that can translate poem better than human in a not so far future. On the conclusion, machines need to improve in order to be better translators that humans in all features of

translation

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and for all types of writing. But they are not so far behind. The ongoing advancements in hardware and software soon will place MT in a spot that humans will probably never be able to reach.