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.

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

. Some people

however

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

translation

from machines and humans.

Although

machines may not be as

good

Suggestion

well

as humans in all aspects of

translation

at the moment, but I

belive

accept as true; take to be true

believe

believed

in a not so far future

this

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

First

of all,

although

machine

translation

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

translation

does, but it definitely wins the race

of

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on

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

For

example google

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example, google

translate can translate everything in a

fractions

Suggestion

fraction

of a

second

.

Thus

, machines are not only not behind from humans in

factor

Suggestion

the factor

of

pace but

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pace, but

also

they are already ahead.

Secondly

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

translation

of some more complex writings.

For example

, articles in literature or philosophy may not

recieve

get something; come into possession of

receive

a high quality

translation

from a machine comparing with a human work.

However

, with the upcoming expansion in

machine learning area

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the machine learning area

, along with the advent of mega-processors and “

exadata

Suggestion

Exadata

exudate

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

also

will be better than humans by far. As an instance, scientists already have built

machines advanced

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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

and for all types of writing. But they are not so far behind. The ongoing

advancments

encouragement of the progress or growth or acceptance of something

advancements

advancement

in hardware and software soon will place MT in a spot that humans will probably never be able to reach.