TY - GEN
T1 - Robustness Analysis of Adaptive Chinese Input Methods
AU - Jiang, Mike Tian-Jian
AU - Lee, Cheng-Wei
AU - Liu, Chad
AU - Chang, Yung-Chun
AU - Hsu, Wen Lian
PY - 2011/12
Y1 - 2011/12
N2 - 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.
AB - 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.
UR - https://www.researchgate.net/publication/229086622_Robustness_Analysis_of_Adaptive_Chinese_Input_Methods
M3 - Conference contribution
BT - Workshop on Advances in Text Input Methods (WTIM)
ER -