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Opinion

Band 5+: 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?

Note: Both the topic and the essay were created by one of our users.

Nowadays, Artificial intelligent has become highly popularised and, consequently, utilised in numerous spheres. Nevertheless, some individuals reckon that in the nearest future mechanised translators are not expected to surpass human beings’ abilities in this activity. I totally concur with such a position, and this essay with arguments in the following paragraphs will confirm my opinion.

To commence, all apps aimed at translation are programmed by people that have downloaded there basic components: grammar rules, diverse structures in sentence-construction and thousands of words, depending on a language. However, operations with text translation do not only consist of converting words from one language to another, as it is far more intricate process. Thus, no matter to what extent any program is adjusted, every automatic translator has a substantial shortcoming – it is unable to completely comprehend an insight into existing languages. To exemplify, should a work of literature be translated, it will be entrusted a qualified specialist, in order to emotionally outline culminate episodes, filling a book with elements from the reality.

In addition to this, impossibility in the dominance of MT happens due to widespread errors, diminishing accuracy and clarity of writing. Once a mechanised translator faces with a mistake in the given material, it copies an error in a produced text since it cannot distinguish between a correct option and non-appropriate one. As an example, such an app is not likely to alter an assertion that does not clearly represent the main essence and simply rewrite it . Moreover, there is a considerable hurdle with synonyms and homonyms, whose subtleties sometimes are arduous even for professionals. To be precise, such words like “stare” and “gaze” are determined by a translator as the identical ones, while for ordinary people the dissimilarity is visible.

In conclusion, it is explicit that MT is not about to outgrow people due to obvious reasons. These machines do not delve into the gist of materials reflecting the most essential features and masterfully operate with synonyms and possible mistakes.

Word Count: 332

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