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2. Grammarly - Wikipedia

   en.wikipedia.org/wiki/Grammarly

   It has been trained on an anonymized library of business writing and is capable of suggesting clarifying edits and additions to work communications such as emails and chat messages. [23] In September 2024, Grammarly announced the release of its Authorship tool, which attempts to identify the original source of a passage of text.

3. 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]

4. Count data - Wikipedia

   en.wikipedia.org/wiki/Count_data

   Graphical examination of count data may be aided by the use of data transformations chosen to have the property of stabilising the sample variance. In particular, the square root transformation might be used when data can be approximated by a Poisson distribution (although other transformation have modestly improved properties), while an inverse sine transformation is available when a binomial ...

5. Grammar checker - Wikipedia

   en.wikipedia.org/wiki/Grammar_checker

   Grammar checkers are most often implemented as a feature of a larger program, such as a word processor, but are also available as a stand-alone application that can be activated from within programs that work with editable text. The implementation of a grammar checker makes use of natural language processing. [1] [2]

6. Document-term matrix - Wikipedia

   en.wikipedia.org/wiki/Document-term_matrix

   When creating a data-set of terms that appear in a corpus of documents, the document-term matrix contains rows corresponding to the documents and columns corresponding to the terms. Each ij cell, then, is the number of times word j occurs in document i. As such, each row is a vector of term counts that represents the content of the document ...

7. Flesch–Kincaid readability tests - Wikipedia

   en.wikipedia.org/wiki/Flesch–Kincaid...

   "The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...