Spelling correction for the telecommunications network for the deaf
Communications of the ACM
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Style mining of electronic messages for multiple authorship discrimination: first results
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Categorizing unknown words: using decision trees to identify names and misspellings
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Integrated control of chart items for error repair
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Music artist style identification by semi-supervised learning from both lyrics and content
Proceedings of the 12th annual ACM international conference on Multimedia
On combining multiple clusterings
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Correcting real-word spelling errors by restoring lexical cohesion
Natural Language Engineering
Successfully detecting and correcting false friends using channel profiles
Proceedings of the second workshop on Analytics for noisy unstructured text data
Ordering the suggestions of a spellchecker without using context*
Natural Language Engineering
Music clustering with features from different information sources
IEEE Transactions on Multimedia - Special section on communities and media computing
Authorship classification: a syntactic tree mining approach
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
On combining multiple clusterings: an overview and a new perspective
Applied Intelligence
Authorship classification: a discriminative syntactic tree mining approach
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
| Hi-index | 0.02 |