Open AccessAttention Mechanism in Machine Translation
Author(s) -
Yuening Jia
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1314/1/012186
Subject(s) - machine translation , mechanism (biology) , computer science , translation (biology) , artificial intelligence , field (mathematics) , process (computing) , machine learning , transfer based machine translation , example based machine translation , programming language , mathematics , chemistry , epistemology , messenger rna , gene , pure mathematics , philosophy , biochemistry
Machine translation is an important field in machine learning. In recent years, the way to improve the effect of machine translation through attention mechanism has been well introduced and developed, and has become an important research part in machine translation. However, how to use the attention mechanism to ensure the translation speed and accuracy at the same time has also become an important problem for researchers to solve. In this article, we will introduce the development process of attention mechanism in the field of machine translation, and introduce in detail the algorithm changes of four papers on the development of Attention in Machine translation. Through the analysis of their experimental data, the development level of attention mechanism in the field of machine translation is shown.