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

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發(fā)表于 2025-3-21 16:38:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Translation
副標(biāo)題15th China Conferenc
編輯Shujian Huang,Kevin Knight
視頻videohttp://file.papertrans.cn/621/620778/620778.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Machine Translation; 15th China Conferenc Shujian Huang,Kevin Knight Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 ar
描述This book constitutes the refereed proceedings of the 15th China Conference on Machine Translation, CCMT 2019, held in Nanchang, China, in September 2019..The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; automata theory; computational linguistics; correlation analysis; databases; inf
版次1
doihttps://doi.org/10.1007/978-981-15-1721-1
isbn_softcover978-981-15-1720-4
isbn_ebook978-981-15-1721-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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




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發(fā)表于 2025-3-21 23:45:28 | 只看該作者
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
板凳
發(fā)表于 2025-3-22 00:36:40 | 只看該作者
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
地板
發(fā)表于 2025-3-22 06:37:49 | 只看該作者
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.
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發(fā)表于 2025-3-22 15:29:04 | 只看該作者
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
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發(fā)表于 2025-3-22 18:58:55 | 只看該作者
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
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發(fā)表于 2025-3-23 02:27:47 | 只看該作者
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
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發(fā)表于 2025-3-23 07:29:36 | 只看該作者
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
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