Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on machine translati on have been published. According to newsreporting originating from Jilin, Peop le’s Republic of China, by NewsRx correspondents, research stated “Nowadays, te achers have begun to try to carry out teaching innovation, but there is still th e phenomenonof copying the traditional course content and teaching form on the online teaching platform.”Our news journalists obtained a quote from the research from Changchun Institute of Technology:“Aiming at these types of teaching problems, this paper proposes research on the innovation of Englishtranslation teaching modes based on deep learning. In order to better analyze the effect of positionaldistance on word v ectors, the PW-CBOW model is constructed on the basis of the structure of the CBOW model, and its parameters are optimized using the Adam optimizer. When the in put and outputare both indeterminate long sequences, a decoder-encoder is used for processing. The machine translationmodel is jointly constructed by combinin g the attention mechanism and the bidirectional gated loop unit.The English tea ching model that combines the machine translation model is exemplified by using dataanalysis software. The results present that this paper’s model has +3.15 an d +2.12 more BLEU pointsthan the Transformer model and DynamicConv, respectivel y, and there is a significant difference betweenthis paper’s teaching model and the traditional teaching model in the three dimensions of final grades,stage g rades, and project grades, all of which satisfy P<0.05.”
NETL
NSTL