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Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
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.
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.
The Masoretic Text [a] (MT or 𝕸; Hebrew: נֻסָּח הַמָּסוֹרָה, romanized: Nūssāḥ hamMāsōrā, lit. 'Text of the Tradition') is the authoritative Hebrew and Aramaic text of the 24 books of the Hebrew Bible (Tanakh) in Rabbinic Judaism.