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2. Reverso (language tools) - Wikipedia

   en.wikipedia.org/wiki/Reverso_(language_tools)

   Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.

3. Legal translation - Wikipedia

   en.wikipedia.org/wiki/Legal_translation

   Legal translation is the translation of language used in legal settings and for legal purposes. Legal translation may also imply that it is a specific type of translation only used in law, which is not always the case. As law is a culture-dependent subject field, legal translation is not necessarily linguistically transparent. Intransparency in ...

4. DeepL Translator - Wikipedia

   en.wikipedia.org/wiki/DeepL_Translator

   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 .

5. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   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 ]

6. Certified translation - Wikipedia

   en.wikipedia.org/wiki/Certified_translation

   For legal and official purposes, evidentiary documents and other official documentation are usually required in the official language(s) of a jurisdiction. In some countries, it is a requirement for translations of such documents that a translator swear an oath to attest that it is the legal equivalent of the source text.

7. Google Neural Machine Translation - Wikipedia

   en.wikipedia.org/wiki/Google_Neural_Machine...

   GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [ 2 ]