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  2. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    To prevent a zero probability being assigned to unseen words, each word's probability is slightly lower than its frequency count in a corpus. To calculate it, various methods were used, from simple "add-one" smoothing (assign a count of 1 to unseen n -grams, as an uninformative prior ) to more sophisticated models, such as Good–Turing ...

  3. Repetition (rhetorical device) - Wikipedia

    en.wikipedia.org/wiki/Repetition_(rhetorical_device)

    Repetition is the simple repeating of a word, within a short space of words (including in a poem), with no particular placement of the words to secure emphasis. It is a multilinguistic written or spoken device, frequently used in English and several other languages, such as Hindi and Chinese, and so rarely termed a figure of speech .

  4. Epizeuxis - Wikipedia

    en.wikipedia.org/wiki/Epizeuxis

    In rhetoric, epizeuxis, also known as palilogia, is the repetition of a word or phrase in immediate succession, typically within the same sentence, for vehemence or emphasis. [1] [2] A closely related rhetorical device is diacope, which involves word repetition that is broken up by a single intervening word, or a small number of intervening ...

  5. Zipf's law - Wikipedia

    en.wikipedia.org/wiki/Zipf's_law

    Wentian Li has shown that in a document in which each character has been chosen randomly from a uniform distribution of all letters (plus a space character), the "words" with different lengths follow the macro-trend of Zipf's law (the more probable words are the shortest and have equal probability). [19]

  6. Word count - Wikipedia

    en.wikipedia.org/wiki/Word_count

    The word count is the number of words in a document or passage of text. Word counting may be needed when a text is required to stay within certain numbers of words. This may particularly be the case in academia, legal proceedings, journalism and advertising. Word count is commonly used by translators to

  7. Template:Word count/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Word_count/doc

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  8. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity .

  9. Translation memory - Wikipedia

    en.wikipedia.org/wiki/Translation_memory

    Moreover, when extracting unknown terms, it can use parsing based on text statistics. These are used to estimate the amount of work involved in a translation job. This is very useful for planning and scheduling the work. Translation statistics usually count the words and estimate the amount of repetition in the text.