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Fast Retrieval Algorithm of English Sentences Based on Artificial Intelligence Machine Translation

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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 102))

Abstract

With the continuous development of artificial intelligence technology, people all over the world are no longer bound by distance, accompanied by obstacles to group communication between different populations. In order to allow people to better communicate and talk, machine translation. It came into being, and this brand-new technology has become a hot research topic at home and abroad under the artificial intelligence model. This article first summarizes the basic theory of artificial intelligence technology, and then extends the core technology of artificial intelligence. Based on the current status of machine translation English sentences on the Internet, artificial intelligence technology is used to quickly retrieve machine translated English sentences. This research systematically expounds the rules and corpus of the machine translation system, as well as the principle, calculation process and model building of related algorithms. Through experimental analysis, the effect of rapid retrieval of English sentences based on machine translation under artificial intelligence is studied. This experiment carried out research on the theme of this article by the express questionnaire survey method and the analytic hierarchy process. The experimental research shows that the Simhash algorithm reduces the impact of the synonym processing stage on the overall performance, while retaining the advantages of high precision and high accuracy of the calculation results.

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Correspondence to Chuncai Lai .

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Lai, C. (2022). Fast Retrieval Algorithm of English Sentences Based on Artificial Intelligence Machine Translation. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 102. Springer, Singapore. https://doi.org/10.1007/978-981-16-7466-2_117

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