Titlebook: Machine Translation; 15th China Conferenc Shujian Huang,Kevin Knight Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 ar

obsess

書目名稱Machine Translation影響因子(影響力)




書目名稱Machine Translation影響因子(影響力)學(xué)科排名




書目名稱Machine Translation網(wǎng)絡(luò)公開度




書目名稱Machine Translation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Translation被引頻次




書目名稱Machine Translation被引頻次學(xué)科排名




書目名稱Machine Translation年度引用




書目名稱Machine Translation年度引用學(xué)科排名




書目名稱Machine Translation讀者反饋




書目名稱Machine Translation讀者反饋學(xué)科排名

Meager

Jiaxin Zhai,Zhengtao Yu,Shengxiang Gao,Zhenhan Wang,Liuqing Pud linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Air Force. The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencethet978-1-4614-2455-0978-0-387-79148-7Series ISSN 0172-6056 Series E-ISSN 2197-5604

輕觸

Yulin Zhang,Chong Feng,Hongzheng Lid linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Air Force. The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencethet978-1-4614-2455-0978-0-387-79148-7Series ISSN 0172-6056 Series E-ISSN 2197-5604

Dislocation

Independent Fusion of Words and Image for Multimodal Machine Translation,h-German sentence pairs of the multimodal machine translation dataset, Multi30k, and the Indonesian-Chinese sentence pairs which is manually annotated by human. Compared with the existing MNMT model based on RNN, our model has a better performance and proves the effectiveness of it.

起草

fetter

oped the stochastic linear programming approach, but this too has its limitations. Recently, interest has been given to linear programming problems with data given as intervals, convex sets and/or fuzzy sets. The individual results of these studies have been promising, but the 978-1-4419-4094-0978-0-387-32698-6

杠桿支點

Wenhao Zhu,Zhihao Zhou,Shujian Huang,Zhenya Lin,Xiangsheng Zhou,Yaofeng Tu,Jiajun Chentorical artifact. When Dantzig ?rstdevelopedthe Simplex Algorithm to solvewhat arenowcalled linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Air Force. The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencethet

騙子

動物

Na Ye,Yuanyuan Wang,Dongfeng Caitorical artifact. When Dantzig ?rstdevelopedthe Simplex Algorithm to solvewhat arenowcalled linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Air Force. The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencethet

產(chǎn)生

Junteng Ma,Shihao Qin,Minping Chen,Xia Litorical artifact. When Dantzig ?rstdevelopedthe Simplex Algorithm to solvewhat arenowcalled linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Air Force. The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencethet