Classifier combination for telegraphese restoration

This paper presents a classifier combination to solve telegraphese restoration problem. By implementing more than one classifier, it can support other classifier, and finally it can improve the performance. Using supplied development data, training data and testing data, the best model had an accuracy F = 79 %.