Correcting Keyboard Layout Errors and Homoglyphs in Queries
Derek Barnes, Mahesh Joshi, Hassan Sawaf · 2014
Keyboard layout errors and homoglyphs in cross-language queries impact our abil-ity to correctly interpret user informa-tion needs and offer relevant results. We present a machine learning approach to correcting these errors, based largely on character-level n-gram features. We demonstrate superior performance over rule-based methods, as well as a signif-icant reduction in the number of queries that yield null search results. 1