997 Association for Computational Linguistics Recurrent Neural-network Learning of Phonological Regularities in Turkish 1 Network Architecture


Simple recurrent networks were trained with sequences of phonemes from a corpus of Turkish words. The network's task was to predict the next phoneme. The aim of the study was to look at the representations developed within the hidden layer of the network in order to investigate the extent to which such networks can learn phonological regularities from such… (More)