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  2. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    In the translation task, a sentence =, (consisting of tokens ) in the source language is to be translated into a sentence =, (consisting of tokens ) in the target language. The source and target tokens (which in the simple event are used for each other in order for a particular game ] vectors, so they can be processed mathematically.

  3. Example-based machine translation - Wikipedia

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

    The particular example shows an example of a minimal pair, meaning that the sentences vary by just one element. These sentences make it simple to learn translations of portions of a sentence. For example, an example-based machine translation system would learn three units of translation from the above example:

  4. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

  5. Rule-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_translation

    a translator - used to translate a source language word into the target language; a TL morphological generator - works as a generator of appropriate target language words for the given grammatica information; a TL parser - works as a composer of suitable target language sentences; Several dictionaries - more specifically a minimum of three ...

  6. Transfer-based machine translation - Wikipedia

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

    One of the main features of transfer-based machine translation systems is a phase that "transfers" an intermediate representation of the text in the original language to an intermediate representation of text in the target language. This can work at one of two levels of linguistic analysis, or somewhere in between. The levels are:

  7. Moment (unit) - Wikipedia

    en.wikipedia.org/wiki/Moment_(unit)

    A moment (momentum) is a medieval unit of time. The movement of a shadow on a sundial covered 40 moments in a solar hour , a twelfth of the period between sunrise and sunset . The length of a solar hour depended on the length of the day, which, in turn, varied with the season . [ 1 ]

  8. Literal translation - Wikipedia

    en.wikipedia.org/wiki/Literal_translation

    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).

  9. Google Translator Toolkit - Wikipedia

    en.wikipedia.org/wiki/Google_Translator_Toolkit

    It divided the document into segments, usually sentences, headers, or bullets. Next, it searched all available translation databases for previous human translations of each segment. If any previous human translations of the segment existed, Google Translator Toolkit picked the highest-ranked search result and 'pretranslated' the segment with ...

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