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Search "folds" character households, matching comparable-looking letters across alphabets, to match international terms. For this reason prefix: must solely ever be given because the final a part of a search field question, and subsequent character after the colon cannot be an area. A single namespace: filter can go first, and a single prefix: filter can go last. It always takes you to the search results web page, vapeverkaufen by no means leaping to a single title. For vapespezial instance, you possibly can go straight to a Wiktionary entry by using the prefix wikt: out of your internet-search field.

For instance, "holly dolly" where the house is quoted as a personality, differs much from holly dolly where the area is interpreted as a logical AND. For example, a search on Citroen can even match Citroën, ezigarettenaromen and Aeroskobing matches Ærøskøbing. In contrast to most different filters, articletopic: also does web page weighting: articles which are a stronger match for a subject will probably be larger within the search results (whereas articles which aren't about that topic at all will be faraway from the result set completely).

A non-match, or any different type of search string will take you to Wikipedia's search outcomes page, vapeenligne where the outcomes of your search are displayed. In Wikipedia's default Vector 2022 skin, it's situated within the header of the page at the highest of the display. JavaScript, and thus probably person scripts, and skins have an effect on the search/navigate default conduct. User scripts is perhaps designed to work on the search outcomes page but not the search web page, for instance.

Search every web page on the complete wiki, for example additionally drafts and user pages. Articles are in the principle namespace, ezigarettenaromen or "article house", ezigarettenaromen but Special:Statistics will present that there are many occasions extra pages on Wikipedia than there are articles on Wikipedia. Also deepcat:, this enables you to look in a category and 24ezigarette all its subcategories. It will work since all NYC bridges are categorized in subcategories, and incategory: would not search in subcategories however deepcat: does.