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The moss project seeks to find and remove the furry green typos that have been growing on Wikipedia articles. It uses a python script named moss and written by User:Beland to automatically find misspellings, mistakes in English grammar, violations of the Wikipedia:Manual of Style, and confusing or broken wiki markup.
It then compares each word with a known list of correctly spelled words (i.e. a dictionary). This might contain just a list of words, or it might also contain additional information, such as hyphenation points or lexical and grammatical attributes. An additional step is a language-dependent algorithm for handling morphology.
Add {{User Typo Team}} to show the project userbox on your user page. Note the bold "Wikipedia Typo Team" in the userbox above will be a link to this project page when used on your user page. The original userbox was designed by Galaxiaad and may still be used using the old {{User:Galaxiaad/typo}}.
Here's how the process of deleting a word from the dictionary works and why it happens in the first place. Ever tried reading the whole dictionary? Here's how long it would take you.
Split PDF files in a number of ways: After every page, even pages or odd pages; After a given set of page numbers; Every n pages; By bookmark level; By size, where the generated files will roughly have the specified size; Rotate PDF files where multiple files can be rotated, either every page or a selected set of pages (i.e. Mb). Extract pages ...
Spelling suggestion is a feature of many computer software applications used to suggest plausible replacements for words that are likely to have been misspelled.. Spelling suggestion features are commonly included in Internet search engines, word processors, spell checkers, medical transcription, automatic query reformulation, and frequency-log statistics reporting.
Don't worry about relying on your browser's spell check feature. With AOL Mail, click one button to check the entire contents of your email to ensure that everything is spelled correctly. In addition, you'll never need worry about typos or misspelled words again by enabling auto spell check. Use spell check
Terminology extraction (also known as term extraction, glossary extraction, term recognition, or terminology mining) is a subtask of information extraction.The goal of terminology extraction is to automatically extract relevant terms from a given corpus.