“…In detail, the pipeline models adopt either translate-then-summarize approaches (Leuski et al, 2003;Boudin et al, 2011;Wan, 2011;Yao et al, 2015;Zhang et al, 2016;Linhares Pontes et al, 2018;Wan et al, 2018;Ouyang et al, 2019) or summarize-then-translate approaches (Orȃsan and Chiorean, 2008;Wan et al, 2010). For end-to-end models, they mainly fall into four categories, i.e., multi-task methods (Zhu et al, 2019;Takase and Okazaki, 2020;Cao et al, 2020;Bai et al, 2021a;Liang et al, 2022), knowledge-distillation methods (Ayana et al, 2018;Duan et al, 2019;Nguyen and Tuan, 2021), resource-enhanced methods Jiang et al, 2022) and pre-training methods (Dou et al, 2020;Ma et al, 2021;Chi et al, 2021a;Wang et al, 2022b). For each category, we will thoroughly go through the previous work and discuss the corresponding pros and cons.…”