Adoption of Wireless Network and Artificial Intelligence Algorithm in Chinese-English Tense Translation

Table 2

Main parameter settings and descriptions of baseline model training.

Parameters	Parameter value	Descriptions
Scr vocab size	30000	The size of source Chinese vocabulary
Tgt vocab size	30000	The size of target English vocabulary
Batch size	64	Minibatch size, the number of training samples taken out for each training
Embedding size	500	Dimensions of source and target word embedding
Encoder type	BiLSTM	The type of neural network used by Encoder, a bidirectional LSTM here
Decoder type	LSTM	The neural network type used by Decoder, the standard LSTM used here
Enc/Dec layers	2	Network layers of Encoder and Decoder
LSTM size	500	Dimension of hidden layer of the neural network in LSTM
Optimization	Adam	Type of the optimization functions
Learning rate	0.001	Learning rate for neural network training
Beam size	10	The size of each candidate set selected in beam-search