基于人机交互的网络化智能翻译系统设计

Design of network intelligent translation system based on human-computer interaction

智能化的机器翻译系统对提高学生的自主学习能力具有积极作用,设计基于人机交互的网络化智能翻译系统。系统设计包括机器翻译算法设计和系统的软件开发设计两大部分,采用语义本体结构映射方法进行机器翻译过程中的语义信息筛选控制,构建专家语义数据库,结合主题词特征构造方法进行语义概念树分析,采用网络化的信息交互模式进行智能翻译系统的人机交互设计,构建智能翻译的单词、短语及句子的语料库,在语义主题词概念集中实现智能翻译的语句划分,采用主题词特征匹配方法实现网络化智能翻译的算法设计,提高翻译的智能性。在嵌入式的工控主机中进行网络化智能翻译系统开发和人机交互设计,系统主要由信息处理模块、AD模块、DMA控制器以及输出模块等组成。测试结果表明,该系统能有效实现网络化智能翻译,提高机器翻译的可靠性和智能性。

The intelligent machine translation system plays an active role in improving students’autonomous learning ability.A network intelligent translation system based on human-computer interaction is designed.The system design includes two parts:machine translation algorithm design and system software development design.Semantic ontology structure mapping method is used to screen and control the semantic information in machine translation process,and the expert semantic database is constructed.In this paper,the semantic concept tree is analyzed with the method of thematic word feature construction,and the human-computer interaction design of intelligent translation system is carried out by using the networked information interaction mode,and the corpus of words,phrases and sentences in intelligent translation is constructed.In the semantic subject word concept set,the sentence division of intelligent translation is realized,and the algorithm design of network-based intelligent translation is realized by using feature matching method of subject words,which improves the intelligence of translation.In the embedded industrial control host,the intelligent translation system is developed and the human-computer interaction is designed.The system is composed of information processing module,AD module,DMA controller and output module.The test results show that the system can effectively realize networked intelligent translation and improve the reliability and intelligence of machine translation.