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

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 translati...

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Bibliographic Details
Main Authors: Zhao Xia, Song Wanhe, Li Min, Zhang Jianjing
Format: Article
Language:English
Published: Sciendo 2023-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2022.2.0166
Description
Summary: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.
ISSN:2444-8656