Moon-Jung Chae

Convolutional Sequence to Sequence Model with Non-Sequential Greedy Decoding for Grapheme to Phoneme Conversion

The greedy decoding method used in the conventional sequence-to-sequence models is prone to producing a model with a compounding of errors, mainly because it makes inferences in a fixed order, regardless of whether or not the model's previous guesses are correct. We propose a non-sequential greedy d…