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  2. Word count - Wikipedia

    en.wikipedia.org/wiki/Word_count

    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 determine the price of a translation job. Word counts may also be used to calculate measures of readability and ...

  3. Coleman–Liau index - Wikipedia

    en.wikipedia.org/wiki/Coleman–Liau_index

    The Coleman–Liau index is a readability test designed by Meri Coleman and T. L. Liau to gauge the understandability of a text. Like the Flesch–Kincaid Grade Level, Gunning fog index, SMOG index, and Automated Readability Index, its output approximates the U.S. grade level thought necessary to comprehend the text.

  4. Gunning fog index - Wikipedia

    en.wikipedia.org/wiki/Gunning_fog_index

    A high fog index is a good measure of hard-to-read text, but it has its limits. Not all complex words are difficult to understand. For example, "interesting" is not generally thought to be a difficult word, although it has three syllables (excluding the common -ing suffix).

  5. Wikipedia:WORDCOUNT - Wikipedia

    en.wikipedia.org/?title=Wikipedia:WORDCOUNT&...

    The content is as wide as possible for your browser window. Color (beta). Automatic

  6. Template:Word count - Wikipedia

    en.wikipedia.org/wiki/Template:Word_count

    2.1 Parameter trim= example showing all text (trim=no) or truncated text (trim=yes) 3 ... It serves as a basic word count function in areas where word count is ...

  7. tf–idf - Wikipedia

    en.wikipedia.org/wiki/Tf–idf

    Like the bag-of-words model, it models a document as a multiset of words, without word order. It is a refinement over the simple bag-of-words model, by allowing the weight of words to depend on the rest of the corpus. It was often used as a weighting factor in searches of information retrieval, text mining, and user modeling.

  8. 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 ...

  9. Wikipedia:Words per article - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Words_per_article

    The upshot is that the 79 million words in fact span the 239,000 bona fide articles, the remaining 22,000 linked articles, and the unknown number of articles without links. As of October 2004, the total word count in the latter two categories was estimated at two million words. Dividing the remaining 77 million words by 239,000 gives a mean ...

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