Deng Laiying, Hu Xinde, Liu Fen
Guangzhou City Polytechnic, Guangzhou, Guangdong 510000, China.
Beijing Qingneng Internet Technology Co., Ltd, Guangzhou Branch, Guangzhou, Guangdong 510000, China.
Comput Intell Neurosci. 2022 Apr 15;2022:4105942. doi: 10.1155/2022/4105942. eCollection 2022.
Aiming at the problem of low accuracy of traditional algorithm model, an intelligent recognition model of business English translation based on an improved GLR algorithm is proposed. Through this algorithm, the automatic sentence recognition technology is established, and according to the characteristics of business English, the improved GLR algorithm is used for collection, sorting, and analysis, so as to realize the intelligent recognition of business English. The results show that based on the improved GLR algorithm, the recognition accuracy is high, and the comprehensive score is 92.5 points, which overcomes the disadvantages of the GLR algorithm, and the operation speed and processing are improved. Based on the improved GLR algorithm, the intelligent translation of business English is realized, which is accurate and fast, and greatly promotes the learning and development of business English.
针对传统算法模型准确率低的问题，提出了一种基于改进GLR算法的商务英语翻译智能识别模型。通过该算法建立自动句子识别技术，并根据商务英语的特点，利用改进的GLR算法进行收集、整理和分析，从而实现商务英语的智能识别。结果表明，基于改进的GLR算法，识别准确率高，综合得分92.5分，克服了GLR算法的缺点，提高了运算速度和处理能力。基于改进的GLR算法，实现了商务英语的智能翻译，准确快速，极大地促进了商务英语的学习与发展。
