Query Translation Optimization and Mathematical Modeling for English-Chinese Cross-Language Information Retrieval-Reference-Cited by-同舟云学术

Query Translation Optimization and Mathematical Modeling for English-Chinese Cross-Language Information Retrieval

Published:2022-07-15 Issue:0 Volume:0 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Zhao Xia¹,Song Wanhe²,Li Min¹,Zhang Jianjing¹

Affiliation:

1. Department of Basic Courses , Hebei Institute of Mechanical and Electrical Technology , Xingtai , , China

2. Department of Basic Courses , Hebei Vocational University of Industry and Technology , Shijiazhuang , , China

Abstract

Abstract The basic theory of the neural network model used in this research is particle swarm optimization, applied to English-Chinese translation retrieval and model optimization. The decoded form obtains the translation task sequence. This topic uses TensorFlow to complete the construction of the translation system. This research solves the typical lack of semantic information in the hierarchical model. The demonstration of examples shows that the neural network model based on particle swarm optimization can significantly improve the quality of machine translation.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2022.2.0166

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