Computer Intelligent Proofreading System of Translation Model Based on Improved GLR Algorithm

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Abstract

The intelligentization of translation computers refers to the use of modern computer science technology, network information technology and information processing theory to analyze and recognize massive texts and apply them to the translation process. This article intends to use the improved GLR algorithm to study the computerized intelligent proofreading system of translation models, and its purpose is to improve the translation accuracy of the computer-aided system. This article mainly uses experimental and comparative methods to test and study the computerized intelligent proofreading system for the translation model of the improved GLR algorithm. Experimental results show that the improved GLR algorithm machine translation's recognition accuracy rate can reach 95%. For this reason, the computer intelligent proofreading system can use the improved GLR algorithm to improve the accuracy of the system.
基于改进GLR算法的翻译模型计算机智能校对系统
翻译计算机的智能化是指利用现代计算机科学技术、网络信息技术和信息处理理论对海量文本进行分析和识别,并将其应用到翻译过程中。本文拟采用改进的GLR算法对翻译模型的计算机智能校对系统进行研究,其目的是提高计算机辅助系统的翻译准确性。本文主要采用实验法和比较法对改进GLR算法的翻译模型计算机智能校对系统进行测试和研究。实验结果表明,改进后的GLR算法机器翻译的识别准确率可达到95%。为此,计算机智能校对系统可以采用改进的GLR算法来提高系统的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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