Abstract
Swiss German is a dialect continuum whose dialects are very different from Standard German, the official language of the German part of Switzerland. However, dealing with Swiss German in natural language processing, usually the detour through Standard German is taken. As writing in Swiss German has become more and more popular in recent years, we would like to provide data to serve as a stepping stone to automatically process the dialects. We compiled NOAH s Corpus of Swiss German Dialects consisting of various text genres, manually annotated with Part-of-Speech tags. Furthermore, we applied this corpus as training set to a statistical Part-of-Speech tagger and achieved an accuracy of 90.62%.
Cite
CITATION STYLE
Hollenstein, N., & Aepli, N. (2014). Compilation of a Swiss German Dialect Corpus and its Application to PoS Tagging. In 1st Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects, VarDial 2014 at the 25th International Conference on Computational Linguistics: System Demonstrations, COLING 2014 - Proceedings (pp. 85–94). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-5310
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