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Actually, they are not. Watching a translation engine at work, reconsidering translation choices within split seconds as more information becomes available, is impressive. If only I could think that fast! Why is machine translation viewed in a negative light by linguists?

To take the example of technical translation services, machines can think fast but they can’t think like humans, that’s why they make such bad translators. Human communication isn’t just governed by syntactic and semantic principles but also by empathy and intuition. Individual language users have quirks which a translation engine may not recognise. After all, it has only been programmed to process input by matching it against a database of words, collocations and standard expressions stored in its memory.

Professional technical translators don’t just consider the text in front of them but also the conditions of its production and reception. Why was it written, and why is it being translated? What kind of audience is it intended for? With technical translation services, this is often other industry professionals. Will readers of the translation need a little extra help in order to understand it? What is the author trying to say? Is s/he making that clear enough or is there a chance the meaning might be misunderstood? Is any of it humorous? If so, how can I make sure the joke doesn’t get lost in translation? (Machines don’t have a sense of humour. The only joke they know is the one about malfunctioning at the most inopportune moment.) Which aspect of the text is more important: single words or the overall sense? The idea is – usually, though by no means always – to aim for “dynamic” rather than “formal equivalence” by creating not a literal translation but a text which has a similar effect on its readership as the original source text. In the case of technical translation services, although the sense does need to be transmitted, the use of the equivalent terms in the target language is essential.

In other words: By entrusting even short and simple messages to a translation engine, you are likely to suffer shipwreck. (Pardon – you didn’t get that last bit? “Schiffbruch erleiden” is a colloquial German expression denoting failure to achieve a desired result. “You are bound to come to grief” would have been a better, though less faithful translation – the kind of translation a human being might have come up with.) In fact, the shorter a message, the less context for the translator to work with – so it’s all the more vital that not a single word is misunderstood. “Mir wurde die Handtasche gestohlen” means “My purse has been stolen”. Google Translate renders it as: “I have stolen the handbag.” Good luck telling that to a police officer! Although this type of issue is uncommon when it comes to technical translation services, such subtleties always need to be recognised and adapted to the target language and audience. What do you think about machine translation? Do you have a different view? Please share your opinions and experience with us!

How can we help you get your message across? Get in touch with us or have a look at our technical translation services page.Actually, they are not. Watching a translation engine at work, reconsidering translation choices within split seconds as more information becomes available, is impressive. If only I could think that fast!

BUT. Machines can think fast but they can’t think like humans, that’s why they make such bad translators. Human communication isn’t just governed by syntactic and semantic principles but also by empathy and intuition. Individual language users have quirks which a translation engine may not recognise. After all, it has only been programmed to process input by matching it against a database of words, collocations and standard expressions stored in its memory.

Professional translators don’t just consider the text in front of them but also the conditions of its production and reception. Why was it written, and why is it being translated? What kind of audience is it intended for? Will readers of the translation need a little extra help in order to understand it? What is the author trying to say? Is s/he making that clear enough or is there a chance the meaning might be misunderstood? Is any of it humorous? If so, how can I make sure the joke doesn’t get lost in translation? (Machines don’t have a sense of humour. The only joke they know is the one about malfunctioning at the most inopportune moment.) Which aspect of the text is more important: single words or the overall sense? And so on. The idea is – usually, though by no means always – to aim for “dynamic” rather than “formal equivalence” by creating not a literal translation but a text which has a similar effect on its readership as the original source text.

In other words: By entrusting even short and simple messages to a translation engine, you are likely to suffer shipwreck. (Pardon – you didn’t get that last bit? “Schiffbruch erleiden” is a colloquial German expression denoting failure to achieve a desired result. “You are bound to come to grief” would have been a better, though less faithful translation – the kind of translation a human being might have come up with.) In fact, the shorter a message, the less context for the translator to work with – so it’s all the more vital that not a single word is misunderstood. “Mir wurde die Handtasche gestohlen” means “My purse has been stolen”. Google Translate renders it as: “I have stolen the handbag.” Good luck telling that to a police officer!

SILKE LÜHRMANN

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TUI-Group Testimonial 205 × 46 EN

Ian Chapman – Director of Holiday Experience –

“Lingua Translations provides instant multi-lingual options for TUI’s 24/7 Holidayline, so 24 hours a day, 365 days of the year TUI’s customers are connected to an interpreter instantaneously. This service is designed to help holidaymakers who find themselves in difficulty and require non-English language assistance.

The service offered by Lingua Translations provides us with instant translation for every destination we travel to, and has proved invaluable.”

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