Neural machine translation model combining dependency syntax and LSTM

Neural machine translation model combining dependency syntax and LSTM

For the problem of the lack of linguistic knowledge in the neural machine translation model, which is called Transformer, and the insufficient flexibility of positional encoding, this paper introduces the dependency syntax analysis and the long short-term memory network. The source language syntacti...

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Bibliographic Details
Main Authors: Zheng Xin, Chen Hailong, Ma Yuqun, Wang Qing
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:ITM Web of Conferences
Subjects:
neural machine translation
transformer
long and short-term memory network
dependency syntax
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02038.pdf

Internet

https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02038.pdf

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