Optimization of Machine Translation Algorithm for English Complex Long Sentences Based on Computer Semantic Relations

Machine translation is a way to convert the original language into another language by using some translation software in the computer. It is one of the branches of computer language and has strong research value and practical significance. Machine translation is different from human translation. Although sometimes the translation content is not accurate enough, it is efficient. In the current era of internationalization, language barriers are the biggest problem of communication, and machine translation is an important tool to solve this problem. Semantic relations, as an important theory in linguistics, are of great significance for studying language relations, word meaning substitution, and so on. Therefore, this paper would optimize machine translation algorithm based on computer and semantic relations. The final practical application result of this article was also successful. The optimized algorithm had a high translation accuracy of 97.99% for several long and difficult English sentences, while the traditional algorithm only had 93.85%.