This is the project page for SecondString, an open-source Java-based package of approximate string-matching techniques. This code was developed by researchers at Carnegie Mellon University from the Center for Automated Learning and Discovery, the Department of Statistics, and the Center for Computer and Communications Security.
SecondString is intended primarily for researchers in information integration and other scientists. It does or will include a range of string-matching methods from a variety of communities, including statistics, artificial intelligence, information retrieval, and databases. It also includes tools for systematically evaluating performance on test data. It is not designed for use on very large data sets.
P. Kluegl, M. Atzmueller, и F. Puppe. Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, Darmstadt, Germany, University of Darmstadt, (2009)
P. Kluegl, M. Toepfer, P. Beck, G. Fette, и F. Puppe. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, стр. 29--33. Dublin, Ireland, Dublin City University and Association for Computational Linguistics, (августа 2014)
Y. Chan, и D. Roth. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, стр. 551--560. Stroudsburg, PA, USA, Association for Computational Linguistics, (2011)
S. Riedel, L. Yao, и A. McCallum. Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III, стр. 148--163. Berlin, Heidelberg, Springer-Verlag, (2010)
P. Kluegl, M. Atzmueller, и F. Puppe. Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, Darmstadt, Germany, University of Darmstadt, (2009)