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  2. Template:Word count - Wikipedia

    en.wikipedia.org/wiki/Template:Word_count

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  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. Wikipedia:WORDCOUNT - Wikipedia

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

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  5. 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 ...

  6. wc (Unix) - Wikipedia

    en.wikipedia.org/wiki/Wc_(Unix)

    wc (short for word count) is a command in Unix, Plan 9, Inferno, and Unix-like operating systems.The program reads either standard input or a list of computer files and generates one or more of the following statistics: newline count, word count, and byte count.

  7. Category:Words - Wikipedia

    en.wikipedia.org/wiki/Category:Words

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  8. Microsoft Word - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Word

    Microsoft Word is a word processing program developed by Microsoft.It was first released on October 25, 1983, [11] under the name Multi-Tool Word for Xenix systems. [12] [13] [14] Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989 ...

  9. Word error rate - Wikipedia

    en.wikipedia.org/wiki/Word_error_rate

    The general difficulty of measuring performance lies in the fact that the recognized word sequence can have a different length from the reference word sequence (supposedly the correct one). The WER is derived from the Levenshtein distance, working at the word level instead of the phoneme level. The WER is a valuable tool for comparing different ...