Abstract

Text corpora which are tagged with part-o[-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-7h.qger) is presented and its performance is compared to that of a 11IvlM-tagger (Cutting ct al., 1992) anti a trigrambased tagger (Kempe, 1993). It is shown that the Net-Tagger performs as well ;m the trigram-based tagger and better than the HMM-tagger.

Citations

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1	Markov Source modeling of text generation - aelinek - 1985