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Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to machine learning .
Literal translation, direct translation, or word-for-word translation is the translation of a text done by translating each word separately without analysing 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).
Heinrich Gottfried Ollendorff (also later known as Henri Godefroy Ollendorff) (1803, Rawicz near Poznań – 3 April 1865, Paris) was a German grammarian and language educator, [1] whose "modern method" of learning foreign languages came into vogue from the 1840s.
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. These methods have since been superseded by neural machine translation [1] and large language models ...
Technical translation is a type of specialized translation involving the translation of documents produced by technical writers (owner's manuals, user guides, etc.), or more specifically, texts which relate to technological subject areas or texts which deal with the practical application of scientific and technological information.
A machine translation expert, Knight approached language translation as if all languages were ciphers, effectively treating foreign words as symbols for English words. His approach, which tasked an expectation-maximization algorithm with generating every possible match of foreign and English words, enabled the algorithm to figure out a few ...
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Bernard Vauquois' pyramid showing comparative depths of intermediary representation with interlingual machine translation at the peak, followed by transfer-based, then direct translation. Transfer-based machine translation is a type of machine translation (MT). It is currently one of the most widely used methods of machine translation.