, Alexander Fraser (2017). Developing a Stemmer for German Based on a Comparative Analysis of Publicly Available Stemmers. In Proceedings of the German Society for Computational Linguistics and Language Technology (GSCL).
Stemmers, which reduce words to their stems, are important components
of many natural language processing systems. In this paper, we conduct
a systematic evaluation of several stemmers for German using two gold standards
we have created and will release to the community. We then present our
own stemmer, which achieves state-of-the-art results, is easy to understand
and extend, and will be made publicly available both for use by programmers
and as a benchmark for further stemmer development.