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DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.
DeepL Translator, which was at the time based on a CNN encoder, was also released in the same year and was judged by several news outlets to outperform its competitors. [ 28 ] [ 29 ] [ 30 ] It has also been seen that OpenAI 's GPT-3 released in 2020 can function as a neural machine translation system.
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical. These methods have since been superseded by neural machine translation [1] and large language models ...
Linguee is operated by DeepL GmbH (formerly Linguee GmbH) based in Cologne. In 2017, a team of Linguee employees around Jarosław Kutyłowski developed and launched the DeepL Translator, a freely-available translation service capable of translating to and from seven major European languages.
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Unedited machine translation is publicly available through tools on the Internet such as Google Translate, Almaany, [97] Babylon, DeepL Translator, and StarDict. These produce rough translations that, under favorable circumstances, approximate the meaning of the source text.
Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia. Do not translate text that appears unreliable or low-quality.