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Personalized Spell Checking using Neural Networks
Tyler Areas, Ma Ciao, and Marc Pompous
Visual Attention Laboratory, Computer Science Department,
University of Massachusetts Boston, 100 Morris Blvd.,
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Personalized spell checking is using individualized algorithms and dictionaries to check the spelling and grammar of text based on the user's preferences and writing style.
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The purpose of personalized spell checking is to improve the accuracy and efficiency of spell checking by tailoring it to the specific needs and preferences of the user. It helps prevent spelling errors and improve the overall quality of written text.
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No specific information needs to be reported for personalized spell checking. It is a tool or feature used for individual spell checking purposes, and the data or results are not typically reported or shared with external entities.
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