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2. Help:WordToWiki - Wikipedia

   en.wikipedia.org/wiki/Help:WordToWiki

   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.

3. Help:Searching/Features - Wikipedia

   en.wikipedia.org/wiki/Help:Searching/Features

   A fuzzy search will match a different word. Words (but not phrases) accept approximate string matching or "fuzzy search". A tilde ~ character is appended for this "sounds like" search. The other word must differ by no more than two letters. Not the first two letters. The first two letters must match. Two letters swapped. Two letters changed.

4. Wikipedia:Tools/Editing tools - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Tools/Editing_tools

   Microsoft Office Word Add-in For MediaWiki: Converts Word documents to wiki formatting. Doesn't do images. This may not work on newer versions of Word. Excel2Wiki tool for converting Excel tables to wiki tables. Transferring a single wiki page in MediaWiki to Word is easy, just save the desired webpage and then open the page in Microsoft Word.

5. Full-text search - Wikipedia

   en.wikipedia.org/wiki/Full-text_search

   In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

6. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

7. Document clustering - Wikipedia

   en.wikipedia.org/wiki/Document_clustering

   After pre-processing the text data, we can then proceed to generate features. For document clustering, one of the most common ways to generate features for a document is to calculate the term frequencies of all its tokens. Although not perfect, these frequencies can usually provide some clues about the topic of the document.

8. Proximity search (text) - Wikipedia

   en.wikipedia.org/wiki/Proximity_search_(text)

   In text processing, a proximity search looks for documents where two or more separately matching term occurrences are within a specified distance, where distance is the number of intermediate words or characters. In addition to proximity, some implementations may also impose a constraint on the word order, in that the order in the searched text ...

9. Search engine (computing) - Wikipedia

   en.wikipedia.org/wiki/Search_engine_(computing)

   The criteria are referred to as a search query. In the case of text search engines, the search query is typically expressed as a set of words that identify the desired concept that one or more documents may contain. [1] There are several styles of search query syntax that vary in strictness. It can also switch names within the search engines ...