Type, Then Correct: Intelligent Text Correction Techniques for Mobile Text Entry Using Neural Networks
Author:
Affiliation:
1. University of Washington, Seattle, WA, USA
2. Carnegie Mellon University, Pittsburgh, PA, USA
Funder
Baidu
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3332165.3347924
Reference48 articles.
1. Evaluation of a Smart-Restorable Backspace Technique to Facilitate Text Entry Error Correction
2. Pseudo-pressure detection and its use in predictive text entry on touchscreens
3. Precise selection techniques for multi-touch screens
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