Research on English-Chinese Translation of Long and Difficult Sentences by Generalized Logistic Regression Parsing Algorithm Based on Neural Network

DOI

10.2991/assehr.k.201127.071How to use a DOI?

Keywords

Neural network, GLR syntax, long and difficult sentences, E-C translation

Abstract

One of the difficulties in E-C translation is long and difficult English sentence. An accurate and effective identification and parsing of long and difficult English sentences is directly related to the translation quality. This paper uses GLR syntax (Generalized Logistic Regression syntax) based on neural network to syntactically parse the long and difficult English sentences and find the backbone of the sentence, paving a way for the translation, so as to effectively improve the quality of E-C translation.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liang Wu
PY  - 2020
DA  - 2020/11/28
TI  - Research on English-Chinese Translation of Long and Difficult Sentences by Generalized Logistic Regression Parsing Algorithm Based on Neural Network
BT  - Proceedings of the 2020 Conference on Education, Language and Inter-cultural Communication (ELIC 2020)
PB  - Atlantis Press
SP  - 353
EP  - 356
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201127.071
DO  - 10.2991/assehr.k.201127.071
ID  - Wu2020
ER  -