The DeepL translator is an online service of DeepL GmbH in Cologne for machine translation, which went online on 28 August 2017. Hence DeepL, in our opinion, surpassed the translation quality of competitors such as Google and Microsoft in studies.
Machine-made translations have improved considerably with the radical change in the approach to developing multilingual translation systems. Rule-based and statistics-based systems were overtaken by the new paradigm of neural networks with deep learning. Thanks to their comparatively better results, moreover, these are now considered the reference technology par excellence.
In September 2016, Google announced that the newly developed “Google’s Neural Machine Translation System ” delivers better translation results across all language combinations. Not quite a year later, on 28 August 2017, DeepL went online. The new translation service astounded the media world with translations that stood out considerably from Google Translate in terms of quality and seemed almost perfect at first glance. Since then, interest in DeepL and machine conversion has increased. Moreover, DeepL gets used actively, especially in the free version with limited text length, and enjoys great popularity.
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Hence, the translation solution relies on an artificial neural network on a supercomputer in Iceland. It has enough power to translate a million words in less than a second.
The fact that the translation into German works better than with the competition from Silicon Valley, at least that is what various tests suggest and matches our experience.
The test result clearly shows that DeepL Pro can deliver acceptable quality for understanding general language texts at this stage. However, the translation produced by DeepL Pro often sounds linguistically correct. The translated text seems to make sense in terms of content but does not correspond to the content of the source text. When it comes to translating specialist documents, DeepL Pro reaches its limits.
Hence, we use that solution for this website and are very satisfied with it. However, we found that the tool works better if you have longer texts. Presumably, the ai understands the subject matter in more extended essays better and chooses appropriate technical terms. Yet, translations of single words via google translate remain a good option.
Finally, DeepL is, as you might expect, not error-free. Therefore we recommend a slight detour via grammarly.com for translations into English.
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2 Responses
DeepL is a company that has revolutionized the field of language translation with its sophisticated and powerful neural network technology. Their translation service has made it possible for individuals and businesses to communicate effectively with people all over the world, regardless of language barriers.
The success of DeepL is rooted in their dedication to quality and accuracy. They have built a team of talented linguists and computer scientists who work tirelessly to improve the accuracy and efficiency of their translation algorithms. Their commitment to excellence is evident in the quality of their translations, which are consistently ranked as some of the best in the industry.
What’s even more impressive is that DeepL has managed to achieve this level of quality while maintaining a user-friendly and accessible interface. Their platform is intuitive and easy to use, making it accessible to everyone from casual users to professional translators.
Overall, I am thoroughly impressed with DeepL and the impact they have had on the world of translation. Their dedication to quality and innovation is truly remarkable, and I look forward to seeing how they continue to push the boundaries of what is possible in the field of language translation.
I recently tried using DeepL for a translation project and I was extremely disappointed with the results. Despite the fact that it claims to be the best translation service available, I found that the translations were often inaccurate and full of errors.
One of the major issues I had with DeepL was the lack of context sensitivity. The tool seemed to struggle with understanding the nuances of language and the intended meaning behind certain phrases. This led to mistranslations and misinterpretations which resulted in a lot of confusion and frustration on my end.
Additionally, I found that the user interface was not very intuitive or user-friendly. The options and features were difficult to navigate and understand, which made the process of using the tool even more complicated and time-consuming.
Overall, I would not recommend DeepL to anyone looking for a reliable and accurate translation service. While it may be marketed as the best in the business, my experience suggests otherwise. I would suggest exploring other options and doing your research before committing to a translation tool or service.