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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. Search engine indexing - Wikipedia

    en.wikipedia.org/wiki/Search_engine_indexing

    Many search engines incorporate an inverted index when evaluating a search query to quickly locate documents containing the words in a query and then rank these documents by relevance. Because the inverted index stores a list of the documents containing each word, the search engine can use direct access to find the documents associated with ...

  4. Microsoft Word - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Word

    According to Ron Fein of the Word 97 team, AutoSummarize cuts wordy copy to the bone by counting words and ranking sentences. First, AutoSummarize identifies the most common words in the document (barring "a" and "the" and the like) and assigns a "score" to each word – the more frequently a word is used, the higher the score.

  5. Proximity search (text) - Wikipedia

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

    The syntax is keyword1 near:n keyword2 where n=the number of maximum separating words. Ordered search within the Google and Yahoo! search engines is possible using the asterisk (*) full-word wildcards: in Google this matches one or more words, [9] and an in Yahoo! Search this matches exactly one word. [10] (This is easily verified by searching ...

  6. Phrase search - Wikipedia

    en.wikipedia.org/wiki/Phrase_search

    Phrase search is one of many search operators that are standard in search engine technology, along with Boolean operators (AND, OR, and NOT), truncation and wildcard operators (commonly represented by the asterisk symbol), field code operators (which look for specific words in defined fields, such as the Author field in a periodical database ...

  7. Help:Searching - Wikipedia

    en.wikipedia.org/wiki/Help:Searching

    Search results will include the roots of words included in the search string, and their various tenses (plural, past-tense, etc.). If stem matching is not wanted, use double quotes around the word or phrase you want to match verbatim. Here are some examples:

  8. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    Set-theoretic models represent documents as sets of words or phrases. Similarities are usually derived from set-theoretic operations on those sets. Common models are: Standard Boolean model; Extended Boolean model; Fuzzy retrieval; Algebraic models represent documents and queries usually as vectors, matrices, or tuples. The similarity of the ...

  9. Google Books Ngram Viewer - Wikipedia

    en.wikipedia.org/wiki/Google_Books_Ngram_Viewer

    The program can search for a word or a phrase, including misspellings or gibberish. [5] The n-grams are matched with the text within the selected corpus, and if found in 40 or more books, are then displayed as a graph. [6] The Google Books Ngram Viewer supports searches for parts of speech and wildcards. [6] It is routinely used in research. [7 ...