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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? v.4

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. v. 4
Recent advancements in cognitive computing have radically improved Machine translation technology (MT). Some people believe, MT can never be, as fast nor accurate as Human translation. I disagree with this point, and in this essay, I will put forth my views on how MT is slowly becoming better than a Human translation with suitable examples. Firstly, one of the major concerns of MT is its inability to accurately translate real time information. But with the advent of high speed internet technologies like 4G, and now 5G, we are able to process large volumes of data real time in the cloud. For example, once 5G technology gets implemented, there will be zero loss of information over the network, this would mean, a computer operating from US, over a cloud network, can easily translate large volumes of data within milliseconds thus solving the latency problem. Secondly, another factor that is contributing to the improvement of MT is Machine learning. With the help of machine learning technology, a high speed computer can create a neural network, which is continually learning various variables required for accurate translation like accents, slangs, context of usage etc. . Such neural networks are programmed to learn on its own and this will tremendously improve accuracy of MT. For example, the latest version of Skype for Business from Microsoft, comes with a Machine translation feature, where people from different countries can talk to each other in their own language and the MT feature will translate the conversation over the network. This particular application was built using machine learning technology. To sum up, with companies investing billions of dollars to improve their machine learning capabilities, I believe, MT is going to become faster and accurate, and within no time it will be as perfect as a human translator.
Recent advancements in cognitive computing have
radically
This phrase/word (depending on the context) can be potentially replaced with :
improved
You use this word too often, consider replacing it with
Machine
You use this word too often, consider replacing it with
translation
You use this word too often, consider replacing it with
technology
(MT).
This phrase/word is too simple and can be replaced with:
Some
This phrase/word (depending on the context) can be potentially replaced with :
people
believe, MT can never be, as
This phrase/word is too simple and can be replaced with:
fast
nor accurate as Human
You use this word too often, consider replacing it with
translation
. I disagree with this point, and in this essay, I will put forth my views on how MT is
slowly
becoming better than a Human
You use this word too often, consider replacing it with
translation
with suitable examples.

Firstly
, one of the major concerns of MT is its inability to
accurately
translate real time information.
This phrase/word is too simple and can be replaced with:
But
with the advent of high speed internet
You use this word too often, consider replacing it with
technologies
like 4G, and
This phrase/word (depending on the context) can be potentially replaced with :
now
5G, we are able to process large volumes of data real time in the cloud.
For example
, once 5G
You use this word too often, consider replacing it with
technology
This phrase/word (depending on the context) can be potentially replaced with :
gets
implemented, there will be zero loss of information over the
You use this word too often, consider replacing it with
network
, this would mean, a computer operating from US, over a cloud
You use this word too often, consider replacing it with
network
, can
easily
translate large volumes of data within milliseconds
thus
solving the latency problem.

Secondly
, another factor
that is
contributing to the improvement of MT is
You use this word too often, consider replacing it with
Machine
You use this word too often, consider replacing it with
learning
. With the
This phrase/word (depending on the context) can be potentially replaced with :
help
of
You use this word too often, consider replacing it with
machine
You use this word too often, consider replacing it with
learning
You use this word too often, consider replacing it with
technology
, a high speed computer can create a neural
You use this word too often, consider replacing it with
network
, which is
continually
You use this word too often, consider replacing it with
learning
various variables required for accurate
You use this word too often, consider replacing it with
translation
like accents,
Possible spelling mistake found.
slangs
, context of usage etc.
Two consecutive dots
.
Such neural
You use this word too often, consider replacing it with
networks
are programmed
to learn on its
This phrase/word (depending on the context) can be potentially replaced with :
own
and this will
tremendously
This phrase/word (depending on the context) can be potentially replaced with :
improve
accuracy of MT.
For example
, the latest version of Skype for Business from Microsoft,
This phrase/word (depending on the context) can be potentially replaced with :
comes
with a
You use this word too often, consider replacing it with
Machine
You use this word too often, consider replacing it with
translation
feature, where
This phrase/word (depending on the context) can be potentially replaced with :
people
from
This phrase/word is too simple and can be replaced with:
different
countries can talk to each other in their
This phrase/word (depending on the context) can be potentially replaced with :
own
language and the MT feature will translate the conversation over the
You use this word too often, consider replacing it with
network
. This particular application
was built
using
You use this word too often, consider replacing it with
machine
You use this word too often, consider replacing it with
learning
technology.

To sum up, with
This phrase/word (depending on the context) can be potentially replaced with :
companies
investing billions of dollars to
This phrase/word (depending on the context) can be potentially replaced with :
improve
their
You use this word too often, consider replacing it with
machine
You use this word too often, consider replacing it with
learning
capabilities, I believe, MT is going to become faster and accurate, and within no time it will be as perfect as a human translator.
7.5Linking words, meeting the goal of 7 or more
7.5Repeated words, meeting the goal of 3 or fewer
7.5Mistakes

IELTS essay 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. v. 4

Essay
  American English
4 paragraphs
298 words
7.5
Overall Band Score
Coherence and Cohesion: 7.5
  • Structure your answers in logical paragraphs
  • ?
    One main idea per paragraph
  • Include an introduction and conclusion
  • Support main points with an explanation and then an example
  • Use cohesive linking words accurately and appropriately
  • Vary your linking phrases using synonyms
Lexical Resource: 7.5
  • Try to vary your vocabulary using accurate synonyms
  • Use less common question specific words that accurately convey meaning
  • Check your work for spelling and word formation mistakes
Grammatical Range: 7.5
  • Use a variety of complex and simple sentences
  • Check your writing for errors
Task Achievement: 7.5
  • Answer all parts of the question
  • ?
    Present relevant ideas
  • Fully explain these ideas
  • Support ideas with relevant, specific examples
Labels Descriptions
  • ?
    Currently is not available
  • Meet the criteria
  • Doesn't meet the criteria
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