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  2. Rule-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_translation

    Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target languages basically retrieved from (unilingual, bilingual or multilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively.

  3. Translanguaging - Wikipedia

    en.wikipedia.org/wiki/Translanguaging

    It is a dynamic process in which multilingual speakers navigate complex social and cognitive demands through strategic employment of multiple languages. [9] Translanguaging involves issues of language production, effective communication, the function of language, and the thought processes behind language use. [10]

  4. Translation - Wikipedia

    en.wikipedia.org/wiki/Translation

    The English word "translation" derives from the Latin word translatio, [6] which comes from trans, "across" + ferre, "to carry" or "to bring" (-latio in turn coming from latus, the past participle of ferre). Thus translatio is "a carrying across" or "a bringing across"—in this case, of a text from one language to another. [7]

  5. Example-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Example-based_machine...

    Example-based machine translation. 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 ...

  6. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Kural translations by language. v. t. e. 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.

  7. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    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. It is the dominant approach today [ 1 ]: 293[ 2 ]: 1 and can produce translations that rival human translations when ...

  8. Literal translation - Wikipedia

    en.wikipedia.org/wiki/Literal_translation

    t. e. 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 ...

  9. Grammar–translation method - Wikipedia

    en.wikipedia.org/wiki/Grammar–translation_method

    Grammar–translation method. The grammar–translation method is a method of teaching foreign languages derived from the classical (sometimes called traditional) method of teaching Ancient Greek and Latin. In grammar–translation classes, students learn grammatical rules and then apply those rules by translating sentences between the target ...