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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.
Tatoeba is a free collection of example sentences with translations geared towards foreign language learners. It is available in more than 400 languages. Its name comes from the Japanese phrase tatoeba (例えば), meaning 'for example'. It is written and maintained by a community of volunteers through a model of open collaboration. Individual ...
Linguee is an online bilingual concordance that provides an online dictionary for a number of language pairs, including many bilingual sentence pairs. As a translation aid, Linguee differs from machine translation services like Babel Fish, and is more similar in function to a translation memory.
Oppose, DeepL Write is in beta. Is it has been launched, then withdrawn, now launched again in beta. For me it seems like a public test of an uncertain technology. Also, DeepL redirects its own domain deepl.com to the translator, without mentioning write anywhere. So I would suggest to wait if DeepL Write gains some traction.
The following presents a non-exhaustive list of sources whose reliability and use on Wikipedia are frequently discussed. This list summarizes prior consensus and consolidates links to the most in-depth and recent discussions from the reliable sources noticeboard and elsewhere on Wikipedia.
From an alternative name: This is a redirect from a title that is another name or identity such as an alter ego, a nickname, or a synonym of the target, or of a name associated with the target.
Machine unlearning is a branch of machine learning focused on removing specific undesired element, such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation, without needing to rebuild models from the ground up.
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.