基于智能算法实现多平台OPT协同翻译系统的设计

Design of multiplatform collaborative OPT translation system based on intelligence algorithm

在执行翻译任务的实际场景中,经常会出现客户对翻译原文进行局部修改的情况,往往需要通过人工进行整理替换后翻译。为了便于译员在执行翻译操作中更高效地完成翻译任务,文中基于Office、Python和Trados等多种工具和平台,利用智能算法设计一种多平台协同OPT翻译系统。对OPT翻译系统进行语料翻译实验测试,结果表明在同样的语料属性下,OPT系统不仅具有较高的准确率,效率方面也有显著提升,并且随着待翻译任务量的增加,OPT系统在准确率和效率上的优势更加明显。

In the actual scenario of performing translation tasks,it is common for customers to make partial modifications to the translated original text,which often requires manual sorting and replacement before translation.In order to facilitate translators to complete translation tasks more efficiently during translation operations,a multi-platform collaborative OPT translation system is designed by means of intelligent algorithms and based on various tools and platforms such as Office,Python,and Trados.The corpus translation experiment test was conducted on the OPT translation system.The results show that under the same corpus attributes,the OPT system not only has high accuracy but also can significantly improve efficiency.Moreover,as the number of tasks to be translated increases,the advantages of the OPT system in accuracy and efficiency become more apparent.