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Open your document in Word, and "save as" an HTML file. Open the HTML file in a text editor and copy the HTML source code to the clipboard. Paste the HTML source into the large text box labeled "HTML markup:" on the html to wiki page. Click the blue Convert button at the bottom of the page.
To fix that, click the column header to select the entire column. Then click the "Home" tab and click "General" in the Number section of the ribbon. Select "Text" from the menu. 5. Save the ...
This is a hatnote template that proposes to merge the page it is applied into one or more specified pages. Use 'merge from' to tag the destination page(s). Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status Destination page 1 This is the page into which this article should be merged. Note: 19 additional pages to ...
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'2-player Challenge': The form of the Wikipedia game where two people take it in turns to ask the other to navigate between two pages of their choosing, e.g. from Teletubbies to noodles. The number of clicks taken is counted, and the first player to complete the challenge chooses a challenge to give the other player.
A merge, or merger, is the process of uniting two or more pages into a single page. It is done by copying some or all content from the source page(s) into the destination page and then replacing the source page with a redirect to the destination page. Any editor can perform a merge.
[3] [4] The character was designed by Kevan J. Atteberry. [ 5 ] [ 6 ] Although the name Clippit was used in all versions of Microsoft Office that supported the Office Assistant feature, the assistant became commonly referred to by the public as Clippy , a name which later occasionally bled into Microsoft marketing materials.
Code or text folding, or less commonly holophrasting, [1] is a feature of some graphical user interfaces that allows the user to selectively hide ("fold") or display ("unfold") parts of a document. This allows the user to manage large amounts of text while viewing only those subsections that are currently of interest.