Context based spelling correction
Information Processing and Management: an International Journal
Making large-scale support vector machine learning practical
Advances in kernel methods
Scaling Up Context-Sensitive Text Correction
Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference
Contextual spelling correction using latent semantic analysis
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Combining Trigram-based and feature-based methods for context-sensitive spelling correction
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Natural Language Engineering
Correcting real-word spelling errors by restoring lexical cohesion
Natural Language Engineering
Efficient parsing of highly ambiguous context-free grammars with bit vectors
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
A lightweight framework for reproducible parameter sweeping in information retrieval
Proceedings of the 2011 workshop on Data infrastructurEs for supporting information retrieval evaluation
Helping our own 2011: UKP lab system description
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
HOO 2012: a report on the preposition and determiner error correction shared task
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
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In this paper, we describe the UKP Lab system participating in the HOO 2012 Shared Task on preposition and determiner error correction. Our focus was to implement a highly flexible and modular system which can be easily augmented by other researchers. The system might be used to provide a level playground for subsequent shared tasks and enable further progress in this important research field on top of the state of the art identified by the shared task.