Text corpora which are tagged with part-of-speech information are useful in many areas of linguistic research. In this paper, a new part-of-speech tagging method based on neural networks (Net- Tagger) is presented and its performance is compared to that of a HMM-tagger and a trigram-based tagger. It is shown that the Net- Tagger performs as well as the trigram-based tagger and better than the HMM-tagger.
Cite
@article{arxiv.cmp-lg/9410018,
title = {Part-of-Speech Tagging with Neural Networks},
author = {Helmut Schmid},
journal= {arXiv preprint arXiv:cmp-lg/9410018},
year = {2008}
}