Prediction of stress of Slovenian words with machine learning methods

There is no simple algorithm for stress assignment of Slovene words. Speakers of Slovene are usually taught accents together with words. Machine learning algorithms give positive results on this problem, therefore we tried deep neural networks. We tested different architectures, data presentations and an ensemble of networks. We achieved the best results using the ensemble method, which correctly predicted 87,62 % of tested words. Our neural network approach improved results of other machine learning methods and proved to be successful in stress assignment