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2. Comparison of machine translation applications - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_machine...

   Languages features comparison. 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.

3. Ruwiki (Wikipedia fork) - Wikipedia

   en.wikipedia.org/wiki/Ruwiki_(Wikipedia_fork)

   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.

4. Translate (Apple) - Wikipedia

   en.wikipedia.org/wiki/Translate_(Apple)

   Translate. Translate is a translation app developed by Apple for their iOS and iPadOS devices. Introduced on June 22, 2020, it functions as a service for translating text sentences or speech between several languages and was officially released on September 16, 2020, along with iOS 14. All translations are processed through the neural engine of ...

5. Statistical machine translation - Wikipedia

   en.wikipedia.org/.../Statistical_machine_translation

   The idea behind statistical machine translation comes from information theory. A document is translated according to the probability distribution that a string in the target language (for example, English) is the translation of a string in the source language (for example, French).

6. Document legalization - Wikipedia

   en.wikipedia.org/wiki/Document_legalization

   The document was authenticated by the Canadian Department of Foreign Affairs and International Trade and subsequently legalized by the Embassy of the Netherlands in Canada. In international law, document legalization is the process of authenticating or certifying a document so it can be accepted in another country.

7. Sefaria - Wikipedia

   en.wikipedia.org/wiki/Sefaria

   Sefaria. Sefaria is an online open source, [1] free content, digital library of Jewish texts. It was founded in 2011 by former Google project manager Brett Lockspeiser and journalist-author Joshua Foer. [2] [3] [4] Promoted as a "living library of Jewish texts", Sefaria relies partially upon volunteers to add texts and translations.