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

Abstract

In order to improve the quality of long sentence machine translation results, this paper studies the optimization strategies of long sentence translation algorithms from the perspective of semantic relations. Firstly, this paper analyzes the current situation of machine translation for English long sentences, points out the main problems of existing algorithms, and introduces the connotation of semantic relations. Secondly, based on semantic relations, the algorithm is modeled and an optimized machine translation algorithm is proposed. Through research, the optimized algorithm gives full play to the role of semantic relations and can translate long English sentences more accurately, so it has higher application value.