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Machine translation (MT) is a process whereby a computer program analyzes a source text and, in principle, produces a target text without human intervention. In reality, however, machine translation typically does involve human intervention, in the form of pre-editing and post-editing. [97]
Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [11] The input text had to be translated into English first ...
Machine translation. 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. Early approaches were mostly rule-based or statistical.
Literal translation, direct translation, or word-for-word translation is a translation of a text done by translating each word separately without looking at how the words are used together in a phrase or sentence. [1] In translation theory, another term for literal translation is metaphrase (as opposed to paraphrase for an analogous translation).
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
In translation. In translation, a source text (ST) is a text written in a given source language which is to be or has been, translated into another language. According to Jeremy Munday 's definition of translation, "the process of translation between two different written languages involves the changing of an original written text (the source ...
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