<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Hebei Vocational University of Industry and Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The basic theory of the neural network model used in this research is particle swarm optimization, applied to English-Chinese translation retrieval and model...

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

Data publikacji: 15 lip 2022

Zakres stron: 1777 - 1784

Otrzymano: 19 kwi 2022

Przyjęty: 22 cze 2022

DOI: https://doi.org/10.2478/amns.2022.2.0166

Słowa kluczowe
English-Chinese translation, Information retrieval, Information query, Translation mathematical modeling, neural network algorithm

© 2023 Xia Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

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

Data publikacji: 15 lip 2022

Zakres stron: 1777 - 1784

Otrzymano: 19 kwi 2022

Przyjęty: 22 cze 2022

DOI: https://doi.org/10.2478/amns.2022.2.0166

Słowa kluczoweEnglish-Chinese translation, Information retrieval, Information query, Translation mathematical modeling, neural network algorithm

© 2023 Xia Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Słowa kluczowe
English-Chinese translation, Information retrieval, Information query, Translation mathematical modeling, neural network algorithm