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  2. Word count - Wikipedia

    en.wikipedia.org/wiki/Word_count

    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 to measure typing and reading speeds (usually in words per minute). When converting character counts to words, a measure of 5 or 6 characters to a word is generally used for English. [1]

  3. Evince - Wikipedia

    en.wikipedia.org/wiki/Evince

    Evince allows the selection of text in PDF files and allows users to highlight and copy text from documents made from scanned images, if the PDF includes OCR data. Evince used to obey the DRM restrictions of PDF files, which may prevent copying, printing, or converting some PDF files, however this has been made optional, and turned off by ...

  4. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    Portable Document Format (PDF), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems.

  5. Fry readability formula - Wikipedia

    en.wikipedia.org/wiki/Fry_readability_formula

    A rendition of the Fry graph. The Fry readability formula (or Fry readability graph) is a readability metric for English texts, developed by Edward Fry. [1]The grade reading level (or reading difficulty level) is calculated by the average number of sentences (y-axis) and syllables (x-axis) per hundred words.

  6. Dale–Chall readability formula - Wikipedia

    en.wikipedia.org/wiki/Dale–Chall_readability...

    If the percentage of difficult words is above 5%, then add 3.6365 to the raw score to get the adjusted score, otherwise the adjusted score is equal to the raw score. Difficult words are all words that are not on the word list, but it has to be considered that the word list contains the basic forms of e.g. verbs and nouns.

  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.

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