He Wen

Type, Then Correct: Intelligent Text Correction Techniques for Mobile Text Entry Using Neural Networks

Current text correction processes on mobile touch devices are laborious: users either extensively use backspace, or navigate the cursor to the error position, make a correction, and navigate back, usually by employing multiple taps or drags over small targets. In this paper, we present three novel text correction tech…