Application of Neural Network Algorithm in Translation System Construction
Xinying Liu, Yakun Kang, Chao Zhang, Lu Li, Yayuan Liu · 2022
With the popularity of smart phones, people have a growing demand for translation. However, due to the complexity of translation tasks and long processing time, the existing translation systems cannot meet the growing needs of people. In real life, translation system plays a very important role. Translation is the second transmission of language, which is efficient, fast and accurate. AI Media Computer Graphics (AI for short) is a translation system developed based on machine intelligence technology, which consists of two parts: artificial intelligence and language services. So far, only Google Translation System has translation ability. This paper introduces a method to generate a translation system that meets the requirements by constructing a neural network algorithm. By calculating the similarity between different texts, it can be found that the largest similarity in the translation process is the alignment between the two texts and the alignment in semantics. Therefore, this paper uses deep learning to transform these differences into similarities and evaluate them.