![]() And now it also helps us with translation. Today, this technology operates self-driving cars, virtual reality headsets and face recognition software. "Deep" refers to the number of layers through which the data is transformed. On the technological side, deep learning is an algorithm that uses multiple layers of processing information. Big data further amplified these opportunities for machine learning. The more examples the better the computer can learn. Now they are constructing an artificial neural network that can be trained by showing the computer existing examples. In the past, programmers used to write individual commands for every task a computer had to do. It has thus became the base for a new translation tool.ĭeep learning is an aspect of artificial intelligence (AI) that wants to replicate human learning. Over nine years has improved by internalizing an ever growing number of high quality translations. Furthermore, the users can leave feedback and rate the translations manually. Many text samples came from the documents of multilateral institutions like the European Union (EU).Ī human-trained machine-learning algorithm then computed the structure and meaning of the gathered text and learned how certain ideas are being expressed in another language. It gathered these text samples from the Internet using special Internet bots that help web indexing called web crawlers. What was special about it? Apart from various translation options, it offered samples of already translated pieces of text in chosen language pairs. In 2009, they started a a dictionary called Linguee. But how exactly does it work?īefore the company launched the new translation tool in August 2017 it had been in the "language business" for quite some time. The service uses so called deep learning technology based on artificial neural networks. It provides a translation tool that produces more naturally worded text than any of its big competitors. The startup from Cologne, DeepL, was founded by a former Google employee. ![]() ![]() Translation giants like Google and Microsoft are faced with a powerful but small competitor.
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