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Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics. The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing .
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 ...
Readable prose size: the amount of viewable text in the main sections of the article, not including tables, lists, or footer sections. Wiki markup size: the amount of text in the full page edit window, as shown in the character count in the article's page history. Browser page size: the total size of the page as loaded by a web browser.
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 .
This template counts the number of words that goes into its first parameter. It serves as a basic word count function in areas where word count is important (such as Arbitration Committee statements, etc.)
This wiki template is to ease the use of text counting within Word Association Game. {{Wikipedia:Department of Fun/Word Count}} produces the following text: Word count is / as of word: . The parameters must be set, otherwise it produces a dull text.
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 ...
The indices are one-based (meaning the first is number one), inclusive (meaning the indices you specify are included), and may be negative to count from the other end. For example, {{#invoke:string|sub|12345678|2|-3}} → 23456. Not all the legacy substring templates use this numbering scheme, so check the documentation of unfamiliar templates.