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  2. List of linguistic example sentences - Wikipedia

    en.wikipedia.org/wiki/List_of_linguistic_example...

    The sentence pukul pemukul pemukul yang memukul pemukul secara pukul-pukulan dan pukul pemukul dengan pemukul pukul dua agar pemukul terpukul karena dipukul dengan pemukul means "hit the hammer beater that hit the hammer 'riotly' and hit the beater with [a] hammer at 2 o'clock so the beater feel depressed because he was beaten by hammer".

  3. Literal translation - Wikipedia

    en.wikipedia.org/wiki/Literal_translation

    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).

  4. Logic translation - Wikipedia

    en.wikipedia.org/wiki/Logic_translation

    A logic translation is a translation of a text into a logical system.For example, translating the sentence "all skyscrapers are tall" as (() ()) is a logic translation that expresses an English language sentence in the logical system known as first-order logic.

  5. Translation - Wikipedia

    en.wikipedia.org/wiki/Translation

    When in 1921, three years before his death, the English-language novelist Joseph Conrad – who had long had little contact with everyday spoken Polish – attempted to translate into English Bruno Winawer's short Polish-language play, The Book of Job, he predictably missed many crucial nuances of contemporary Polish language. [66]

  6. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Among the top 100 words in the English language, which make up more than 50% of all written English, the average word has more than 15 senses, [134] which makes the odds against a correct translation about 15 to 1 if each sense maps to a different word in the target language. Most common English words have at least two senses, which produces 50 ...

  7. Example-based machine translation - Wikipedia

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

    He pointed out that it is especially adapted to translation between two totally different languages, such as English and Japanese. In this case, one sentence can be translated into several well-structured sentences in another language, therefore, it is no use to do the deep linguistic analysis characteristic of rule-based machine translation.

  8. 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.

  9. Most common words in English - Wikipedia

    en.wikipedia.org/wiki/Most_common_words_in_English

    A list of 100 words that occur most frequently in written English is given below, based on an analysis of the Oxford English Corpus (a collection of texts in the English language, comprising over 2 billion words). [1]

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