2022
DOI: 10.1155/2022/5439320
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Cross-Linguistic Similarity Evaluation Techniques Based on Deep Learning

Abstract: For the cross-linguistic similarity problem, a twin network model with ordered neuron long- and short-term memory neural network as a subnet is proposed. The model fuses bilingual word embeddings and encodes the representation of input sequences by ordered neuron long- and short-term memory neural networks. Based on this, the distributed semantic vector representation of the sentences is jointly constructed by using the global modelling capability of the fully connected network for higher-order semantic extrac… Show more

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