Estimating Membership Functions in a Fuzzy Network Model for Part-of-Speech Tagging

摘要: Part-of-speech POS tagging is a process of assigning to each word in sentence. Because many words are often ambiguous their POSs, must be able select the most proper sequence for given Recently, probabilistic approaches have shown very promising results solve such ambiguity problems. Probabilistic approaches, however, usually require lots training data get reliable probabilities. To alleviate restriction, we use fuzzy membership functions instead probability distributions. Such model called network model. The automatically estimated by using probabilities and neural networks with learning algorithm. Experiments show that performance much better than hidden Markov under limited amount data.