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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]
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 ...
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 font has been produced for the Latin alphabet. Sans Forgetica is supplied free of charge as an OpenType font file and also available as an extension to the Chrome browser, which produces on-screen text which is intended to have optimal retrieval difficulty.
The California Job Case was a compartmentalized box for printing in the 19th century, sizes corresponding to the commonality of letters. The frequency of letters in text has been studied for use in cryptanalysis, and frequency analysis in particular, dating back to the Arab mathematician al-Kindi (c. AD 801–873 ), who formally developed the method (the ciphers breakable by this technique go ...
On average, each word in the list has 15.38 senses. The sense count does not include the use of terms in phrasal verbs such as "put out" (as in "inconvenienced") and other multiword expressions such as the interjection "get out!", where the word "out" does not have an individual meaning. [6]
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
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 .
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