![]() Accuracy of DeepL Translator: Blind Test Results & Critical Acclaim DeepL's AI translation services are being used by a rapidly-growing number of corporations, individuals, and professional translators. It has the neural network technology that is capable of a never-before-seen level of textual understanding. Over the last 6 years of its existence in public space, DeepL has established itself as one of the top players in the AI sector. Then in 2019, Jaroslaw Kutylowski took over the duty of the CEO as well. Its CEO and Industry LeadershipĭeepL translator was founded by Jaroslaw Kutylowski. These 29 languages are, in alphabetical order:īulgarian, Chinese (simplified), Czech, Danish, Dutch, English (American), English (British), Estonian, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Japanese, Latvian, Lithuanian, Polish, Portuguese, Portuguese (Brazilian), Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Turkish, Ukrainian. How many languages does DeepL Translation support?ĭeepL translator supports automatic machine translation between 29 languages as of November 2022. The iOS and Android mobile apps for DeepL launched in 20 respectively. In 2021, in another major update, 13 European languages were added to DeepL. Soon after, they also added Chinese and Japanese languages, with their complex and huge script library, and culture nuances. A major update was in 2020 when they made research breakthroughs in the neural network architecture. In December 2018, Russian and Portuguese were added. Then, DeepL Pro paid service started in 2018, offering API access, integration into other translation softwares, and an optimized web translator experience. At the time, it offered free translation between 7 languages: English, German, French, Spanish, Italian, Polish, and Dutch. The free DeepL translation service launched in August 2017. Also, the "L" also stands alternatively for "Language", as DeepL is trying to bridge the gap between different languages.ĭeepL translator started as a project at Linguee GmBH in 2016, with the team led by Jaroslaw Kutylowski. We can say that the name "DeepL" is a play on "deep learning" as it uses deep neural networks for its translation models. In this article, we review DeepL and take a closer look at the DeepL ecosystem of translation services. Currently, DeepL supports automatic machine translation between 29 languages, focusing more on European languages. DeepL regularly conducts tests of its systems with human translation experts, to get subjective feedback on the accuracy and sensibility of its translations. Hence, it is steadily adding languages to its platform only after they pass its quality controls. DeepL is focusing more on high quality and accuracy compared to scalability. It has highly accurate and nuanced translation results compared to the leading big tech companies like Google, Amazon, and Microsoft. DeepL is a Cologne, Germany-based machine translation service.
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