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Nick Fogal. Overview  Introduction  Common Errors  Scenario  Methods  Applications  Future.

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Presentation on theme: "Nick Fogal. Overview  Introduction  Common Errors  Scenario  Methods  Applications  Future."— Presentation transcript:

1 Nick Fogal

2 Overview  Introduction  Common Errors  Scenario  Methods  Applications  Future

3 I have a spelling checker It came with my PC It highlights for my review Mistakes I cannot sea. I ran this poem thru it I'm sure your pleased to no Its letter perfect in it's weigh My checker told me sew.

4 Introduction  Research began in 1957 for cursive writing and was used to find invalid entries in a database.  Spell checking software was first developed for main frame computers in the 1970s.  Ralph Groin developed the SPELL program in assembly language

5 Errors  Missing character  Extra character  Wrong letters (“i” in place of “e”)  Transposition  Vulgar words (iPhone)  Custom dictionary

6 Scenario  You own a local newspaper company and staff members are reviewing articles over and over again to make sure there are no spelling or grammar errors. This process is performed each day by different staff members and it is very time consuming. However, it is essential that you perform these processes. In the end, there is no way to guarantee that all errors have been fixed. However, you need a more efficient and reliable method.

7 Methods  Word List (Dictionary) Word Frequency Character Distance  Letter by Letter  Word splitting (Foreign languages)  Context Sensitive Based on surrounding words (Microsoft Office)

8 Word Frequency  Take for example the misspelled word “whith”. The best correction would be to recommend the word “with”. Even though “whit” could have used it depends on how frequent words are used.

9 Character Distance The scores for the correction of "whith" are ("whit" 1.41), ("with" 2.24), ("which" 2.83), and ("white" 3.16). In contrast to the method using word frequencies, "whit" is the best correction

10 Context Sensitive  Andrew Golding and Dan Roth's "Winnow-based spelling correction algorithm", published in 1999, which is able to recognize about 96% of context- sensitive spelling errors, in addition to ordinary non-word spelling errors

11 Future  Available to understand sentence structure and context more effectively  Sentence comparison  Integrating multiple methods of recognition and correction

12 Questions?

13 References  http://www.compassrose.com/publishing/about- spell-checker.html http://www.compassrose.com/publishing/about- spell-checker.html  http://www.lrec- conf.org/proceedings/lrec2000/pdf/221.pdf http://www.lrec- conf.org/proceedings/lrec2000/pdf/221.pdf  http://www.stanford.edu/~learnest/spelling.pdf http://www.stanford.edu/~learnest/spelling.pdf  http://simson.net/ref/2006/csci_e-180/ref/spelling- p676-peterson.pdf http://simson.net/ref/2006/csci_e-180/ref/spelling- p676-peterson.pdf  http://grammar.about.com/od/spelling/a/spellcheck.htm http://grammar.about.com/od/spelling/a/spellcheck.htm  http://en.wikipedia.org/wiki/Spell_checker http://en.wikipedia.org/wiki/Spell_checker


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