Why Press Backspace? Understanding User Input Behaviors in Chinese Pinyin Input Method

by Yabin Zheng , Lixing Xie , Zhiyuan Liu , Maosong Sun , Yang Zhang , Liyun Ru

Active Bibliography

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence User-Dependent Aspect Model for Collaborative Activity Recognition ∗ – Vincent W. Zheng, Qiang Yang
CHIME: An Efficient Error-Tolerant Chinese Pinyin Input Method – Yabin Zheng, Chen Li, Maosong Sun
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction – Hisami Suzuki, Jianfeng Gao
1 Hashing-based Approaches to Spelling Correction of Personal Names – Raghavendra Udupa
Managing Misspelled Queries in IR Applications – Jesús Vilares, Manuel Vilares B, Juan Otero B
3 Multi-Level Feature Extraction for Spelling Correction – Johannes Schaback
8 A Large Scale Ranker-Based System for Search Query Spelling Correction – Jianfeng Gao, Xiaolong Li, Daniel Micol, Chris Quirk
CloudSpeller: Spelling Correction for Search Queries by Using a Unified Hidden Markov Model with Web-scale Resources – Yanen Li, Huizhong Duan, Chengxiang Zhai
11 Learning phrase-based spelling error models from clickthrough data – Xu Sun, Daniel Micol, Jianfeng Gao, Chris Quirk - 2010
6 Using the web for language independent spellchecking and autocorrection – Ben Hutchinson, Grace Y Chung, Gerard Ellis - 2009
18 Learning a spelling error model from search query logs – Farooq Ahmad - 2005
More Than Words: Using Token Context to Improve Canonicalization Of Historical German – Bryan Jurish - 2010
Measuring Contextual Fitness Using Error Contexts Extracted from the Wikipedia Revision History – Torsten Zesch
A Discriminative Model for Query Spelling Correction with Latent Structural SVM – Huizhong Duan, Yanen Li, Chengxiang Zhai, Dan Roth
1 A Fast and Accurate Method for Approximate String Search – Ziqi Wang, Gu Xu, Hang Li
General Terms – Juan Otero, Jesús Vilares, Manuel Vilares
CSE 256 (Spring 2004) – Language Models For, Dustin Boswell
1 Discriminative Reranking for Spelling Correction * – Yang Zhang, Pilian He, Wei Xiang, Mu Li
Spelling Correction as an Iterative Process – That Exploits The