A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Automatic discovery of similarity relationships through Web mining
Decision Support Systems - Web retrieval and mining
Factored language models and generalized parallel backoff
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Mining context specific similarity relationships using the world wide web
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Beyond keyword filtering for message and conversation detection
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Detecting word substitutions: PMI vs. HMM
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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Those who want to conceal the content of their communications can do so by replacing words that might trigger attention by other words or locutions that seem more ordinary. We address the problem of discovering such substitutions when the original and substitute words have the same natural frequency. We construct a number of measures, all of which search for local discontinuities in properties such as string and bag-of-words frequency. Each of these measures individually is a weak detector. However, we show that combining them produces a detector that is reasonably effective.