Comparing a connectionist and a rule based model for assigning parts-of-speech

The orthographic structure of Swedish words was used for predicting word class using a connectionist approach. This technique can be used to aid syntactic processing within a text-to-speech system. The error backpropagation technique was used for the connectionist learning procedure. A corpus of the 10000 most frequent Swedish words was used for training and testing the system. The results indicate that around 80% of the words can be correctly classified by using the last part of each word. The system is compared to a rule-based system that makes the same sort of predictions from word endings. The two systems give comparable results for the corpus used