Despite the money and resources that major internet companies have been pumping into the development of neural networks, it is DeepL that can boast the world's most accurate and natural-sounding machine translation tool. When users enter a text, DeepL's artificial intelligence is able to capture even the slightest nuances and reproduce them in translation unlike any other service.
In blind tests pitting DeepL Translator against the competition, translators preferred DeepL's results by a factor of 3:1. Automated tests bear this out, as well. Within the field of machine translation, the gold standard for measuring system performance is the bilingual evaluation understudy (BLEU) score, which compares machine-translated texts with those produced by a translator. DeepL Translator achieves record BLEU scores.
"We have achieved several significant improvements in neural network architecture", stated Gereon Frahling, the company's founder and CEO. "By arranging the neurons and their connections differently, we have enabled our networks to map natural language more comprehensively than any other neural network to date."
DeepL's revolutionary neural architecture runs on a supercomputer in Iceland, capable of 5.1 petaFLOPS (5 100 000 000 000 000 operations per second), enough power to translate a million words in under a second. "Due to the abundance of renewable energy, we can train our neural networks very cost-efficiently in Iceland. We will continue to invest in high-performance hardware", explained CTO Jaroslaw Kutylowski.
The DeepL team uses this supercomputer to train neural translation networks on a huge collection of multilingual texts. In training, the networks examine a multitude of translations and learn independently how to translate with correct grammar and structure. Here, DeepL can draw on the success of its first product: Linguee, the world's largest translation search engine. Over the past decade, DeepL has gathered over a billion high-quality translated texts, the finest possible training material for a neural translation network.
DeepL Translator currently supports 42 language combinations between English, German, French, Spanish, Italian, Polish, and Dutch. The neural networks are already training to master more languages like Mandarin, Japanese, and Russian. DeepL also intends to release an API in the coming months, allowing its superior translations to enhance other products such as digital assistants, dictionaries, language learning apps, and professional translation programmes.
"DeepL's ambitions are not limited to translation", stated Gereon Frahling. "Our neural networks have developed a level of text understanding that opens several exciting possibilities."