Neural Polysynthetic Language Modelling
Table 6.2: Guaraní results using greedy decoding
['Number of GRU layers', 'WER', 'CER']
Both the development and training dataset used only utterances between 1 and 15 seconds in length, thus the results shown are not directly comparable to hartmann2016two. Future experiments will be conducted on all the data for more direct comparison. All models were trained for 50 epochs with a starting learning rate of 10−4 and learning rate annealing each epoch.