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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).
Grammar–translation classes are usually conducted in the students' native language. Grammatical rules are learned deductively; students learn grammar rules by rote, [6] and then practice the rules by doing grammar drills and translating sentences to and from the target language. More attention is paid to the form of the sentences being ...
As a language evolves, texts in an earlier version of the language—original texts, or old translations—may become difficult for modern readers to understand. Such a text may therefore be translated into more modern language, producing a "modern translation" (e.g., a "modern English translation" or "modernized translation").
The usage of a language is the ways in which its written and spoken variations are routinely employed by its speakers; that is, it refers to "the collective habits of a language's native speakers", [1] as opposed to idealized models of how a language works (or should work) in the abstract.
Three employees at a Maryland Cracker Barrel have reportedly been dismissed after staff refused to seat a group of students with special needs on Dec. 3 Superintendent of Charles County Public ...
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