Robotics & Machine Learning Daily News2024,Issue(Dec.19) :11-11.

Findings on Machine Translation Reported by Investigators at University of the S ciences (Xlit: a Method To Bridge Task Discrepancy In Machine Translation Pre-tr aining)

Robotics & Machine Learning Daily News2024,Issue(Dec.19) :11-11.

Findings on Machine Translation Reported by Investigators at University of the S ciences (Xlit: a Method To Bridge Task Discrepancy In Machine Translation Pre-tr aining)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Trans lation have been published. According to newsoriginating from Ho Chi Minh, Viet nam, by NewsRx correspondents, research stated, “Transfer learningfrom pre-trai ned language models to encoder-decoder translation models faces a challenge due to themismatch between the tasks of pre-training and fine-tuning. Pre-trained m odels are not explicitly trainedto understand the semantic interactions between different languages.”

Key words

Ho Chi Minh/Vietnam/Asia/Emerging Tec hnologies/Machine Learning/Machine Translation/University of the Sciences

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文