Title: The use of deep learning and AIoT technology in loan word translation
Authors: Xiaoyan Xu; Zhenhuan Yang
Addresses: School of Foreign Languages, Yantai University, Yantai 264005, Shandong, China ' School of Education, Virginia Polytechnic Institute and State University, Blacksburg 24060, Virginia, USA
Abstract: The purpose is to translate loan words accurately, standardise their use, and better integrate with Chinese culture. The role of intelligent translation in loan words translation is studied based on deep learning and intelligent Internet of things. Moreover, a new neural translation mechanism of divide and conquer strategy is proposed based on the original Artificial Intelligence (AI) translation technology. Its translation quality is tested and compared with manual translation. The new neural translation mechanism can achieve the accuracy of human daily language. The accuracy rate of system Mobile Number Portability (MNP) identification is 74.67%, the recall rate is 71.42% and the F-value is 74.01%. Moreover, the average time is 0.01s/character. Therefore, the research results suggest that the constructed AI translation can more efficiently complete the translation task, save a lot of time cost and labour cost and produce a crucial reference for the intelligent development of the translation industry.
Keywords: intelligent translation; loan word translation; deep learning; intelligent internet of things.
International Journal of Grid and Utility Computing, 2022 Vol.13 No.1, pp.49 - 56
Received: 01 Mar 2021
Accepted: 29 Jul 2021
Published online: 11 Mar 2022 *