Chinese Spelling Error Detection Using a Fusion Lattice LSTM
Table 2. Hyper-parameters values.
['[BOLD] parameter char_emb_size', '[BOLD] value 50', '[BOLD] parameter word_emb_size', '[BOLD] value 50']
Adam optimization algorithm (kingma2014adam) is adopted as the optimizer, with an initial rate of 0.015 and a decay rate of 0.05. The size of the above three embeddings is all set to 50. The hidden size of LSTM is set to 200. Dropout is applied to these three embeddings with a rate of 0.5. One layer bi-direction LSTM is adopted.