Elastic neural networks for part of speech tagging

Application of Neural Networks for POS Tagging and Intonation Control in Speech Synthesis for Polish

The paper describes use of neural networks in POS (part-of-speech) tagging and intonation control, needed in a speech synthesis system for the Polish language. Feedforward multilayered perceptrons have been proposed for both purposes. Considerations during planning the network architecture, used training data, training process and verification of the results are described.

Part-of-Speech Tagging with Recurrent Neural Networks

Part of Speech Tagging with Mixed Approaches of Neural Networks and Transformation Rules

For the purpose of constructing a practical part of speech tagger that uses as few training data as possible, an approach using neural networks, which uses di erent lengths of contexts based on longest context priority and takes into account the maximization of information amount, have been proposed so far. To further improve the tagging performance, this paper proposes an integrated approach o...

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 hased on neural networks (Net-Tagger) is presented and its performance is compared to that of a llMM-tagger (Cutting et al., 1992) and a trigrambased tagger (Kempe, 1993). It is shown that the Net-Tagger performs as well as the trigram...

Neural Network Approach to Thai Part Of Speech Tagging

Thai part of speech (POS) tagging is a challenged problem in natural language processing. Many techniques including artificial neural network techniques are suggested for POS tagging. Research works in Thai POS tagging so far only focused on assigning word types, but not word features. This paper proposed a technique using multilayer perception for tagging word features in Thai sentences. The f...