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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.
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.
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 Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
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. If ...
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.
View a machine-translated version of the Chinese article. 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.
Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.
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