Robustness Analysis of Adaptive Chinese Input Methods

Mike Tian-Jian Jiang, Cheng-Wei Lee, Chad Liu, Yung-Chun Chang, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

摘要

This work proposes a novel metric, Maximally Amortized Cost (MAC), for cost evaluations of error correction of predictive Chinese input methods (IMs). With a series of real-time simulation, user correction behaviors are analyzed by estimating generalized backward compatibility of adaptive Chinese IMs. Comparisons between three IMs by using MAC with different context lengths report empirical factors of context length for improving predictive IMs. The error-tolerance level—Futile Effort, Beneficial Effort and Utility—of adaptive IMs is also proposed and analyzed.
原文英語
主出版物標題Workshop on Advances in Text Input Methods (WTIM)
出版狀態已發佈 - 十二月 2011

指紋 深入研究「Robustness Analysis of Adaptive Chinese Input Methods」主題。共同形成了獨特的指紋。

引用此