Impact of Sentence Representation Matching in Neural Machine Translation

Impact of Sentence Representation Matching in Neural Machine Translation

Most neural machine translation models are implemented as a conditional language model framework composed of encoder and decoder models. This framework learns complex and long-distant dependencies, but its deep structure causes inefficiency in training. Matching vector representations of source and...

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Bibliographic Details
Main Authors: Heeseung Jung, Kangil Kim, Jong-Hun Shin, Seung-Hoon Na, Sangkeun Jung, Sangmin Woo
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
recurrent neural network
machine translation
similarity
sentence representation
guiding pressure
Online Access:https://www.mdpi.com/2076-3417/12/3/1313

Internet

https://www.mdpi.com/2076-3417/12/3/1313

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