A major advantage of deep sequence generation models such as Recurrent Neural Networks (RNNs) is that they do not require the training data to be pre-segmented (Graves, 2013).
for eventual use in baseline networks or automatic sentence segmentation models, additional time annotations for separation of all lexical items in the corpus were determined.