论文信息 - Part-of-Speech Tagging With Neural Networks

Part-of-Speech Tagging With Neural Networks

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 (Cutting et al., 1992) and a trigram-based tagger (Kempe, 1993). It is shown that the Net-Tagger performs as well as the trigram-based tagger and better than the HMM-tagger.

Helmut Schmid | Helmut Schmid

[1] Kenneth Ward Church. A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text , 1988, ANLP.

[2] Vito Pirrelli,et al. Context-sensitivity and linguistic structure in analogy-based parallel networks , 1994 .

[3] Penelope Sibun,et al. A Practical Part-of-Speech Tagger , 1992, ANLP.

[4] Kenneth Ward Church. A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text , 1988, ANLP.

[5] Frederick Jelinek,et al. Markov Source Modeling of Text Generation , 1985 .

[6] Richard Lippmann,et al. Review of Neural Networks for Speech Recognition , 1989, Neural Computation.

[7] Kiyohiro Shikano,et al. Neural Network Approach to Word Category Prediction for English Texts , 1990, COLING.