標(biāo)題: Titlebook: Joint Training for Neural Machine Translation; Yong Cheng Book 2019 Springer Nature Singapore Pte Ltd. 2019 Machine Translation.Neural Mac [打印本頁(yè)] 作者: 小天使 時(shí)間: 2025-3-21 16:12
書(shū)目名稱(chēng)Joint Training for Neural Machine Translation影響因子(影響力)
書(shū)目名稱(chēng)Joint Training for Neural Machine Translation影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Joint Training for Neural Machine Translation網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Joint Training for Neural Machine Translation網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Joint Training for Neural Machine Translation被引頻次
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書(shū)目名稱(chēng)Joint Training for Neural Machine Translation讀者反饋
書(shū)目名稱(chēng)Joint Training for Neural Machine Translation讀者反饋學(xué)科排名
作者: 量被毀壞 時(shí)間: 2025-3-21 23:27
Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation,n the same training data. Experiments on ChineseEnglish and English-French translation tasks show that agreement-based joint training significantly improves both alignment and translation quality over independent training.作者: Distribution 時(shí)間: 2025-3-22 00:39
Semi-supervised Learning for Neural Machine Translation,et and target-to-source translation models serve as the encoder and decoder, respectively. Our approach can not only exploit the monolingual corpora of the target language, but also of the source language. Experiments on the ChineseEnglish dataset show that our approach achieves significant improvements over state-of-the-art SMT and NMT systems.作者: AMITY 時(shí)間: 2025-3-22 06:50 作者: Herd-Immunity 時(shí)間: 2025-3-22 09:56 作者: 越自我 時(shí)間: 2025-3-22 15:36 作者: MOTTO 時(shí)間: 2025-3-22 19:05 作者: subordinate 時(shí)間: 2025-3-22 23:00
Book 2019 of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to i作者: HATCH 時(shí)間: 2025-3-23 01:35 作者: 發(fā)起 時(shí)間: 2025-3-23 08:01
Related Work,T. Next we summarize a number of work which incorporate additional data resources, such as monolingual corpora and pivot language corpora, into machine translation systems. Finally, we make a simple review of the studies about contrastive learning, which is a key technique in our fourth work.作者: 西瓜 時(shí)間: 2025-3-23 12:31
s the following similarities with music: (1) the sonic nature of the realisation (the perception of the expression through hearing); (2) the processual nature (becoming in a particular segment of time); (3) the emotional nature (the aim of arousing affects); (4) common elements of both languages (ve作者: LEERY 時(shí)間: 2025-3-23 15:48 作者: Torrid 時(shí)間: 2025-3-23 20:06 作者: Neutropenia 時(shí)間: 2025-3-23 22:54 作者: DOSE 時(shí)間: 2025-3-24 05:31
Yong Chengof topics from various non-Euclidean and less commonly taught geometries, making it ideal for both mathematics majors and pre-service teachers. Emphasis is placed on developing students‘ deductive reasoning skills as they are guided through proofs, constructions, and solutions to problems. ?The text作者: 減弱不好 時(shí)間: 2025-3-24 10:17
Yong Chengof topics from various non-Euclidean and less commonly taught geometries, making it ideal for both mathematics majors and pre-service teachers. Emphasis is placed on developing students‘ deductive reasoning skills as they are guided through proofs, constructions, and solutions to problems. ?The text作者: 手工藝品 時(shí)間: 2025-3-24 11:19 作者: cardiopulmonary 時(shí)間: 2025-3-24 18:53 作者: falsehood 時(shí)間: 2025-3-24 19:34
Neural Machine Translation,tal of NMT models. Then we study the advantages of NMT over traditional statistical machine translations (SMT), some of its existing challenges and recent research efforts. Finally, we summarize our four works that address several existing problems in NMT. In the second section, we follow attentiona作者: nutrients 時(shí)間: 2025-3-25 01:51 作者: 燒烤 時(shí)間: 2025-3-25 05:10
Semi-supervised Learning for Neural Machine Translation,ation. Since parallel corpora are usually limited in quantity, quality, and coverage, especially for low-resource languages, it is appealing to exploit monolingual corpora to improve NMT. We propose a semi-supervised approach for training NMT models on the concatenation of labeled (parallel corpora)作者: 有毛就脫毛 時(shí)間: 2025-3-25 11:08 作者: 礦石 時(shí)間: 2025-3-25 12:38 作者: venous-leak 時(shí)間: 2025-3-25 16:52
Related Work,s. The related works confirm the importance of attentional mechanisms. Then we investigate how the bidirectional information is captured in SMT and NMT. Next we summarize a number of work which incorporate additional data resources, such as monolingual corpora and pivot language corpora, into machin作者: 搖曳的微光 時(shí)間: 2025-3-25 22:29 作者: 果仁 時(shí)間: 2025-3-26 01:23
an musicologist G. Daunoravi?ien?, intellectual and affective communication between the orator/music and listener characteristic of the Baroque aesthetic means that not only the former (the addresser) but also the latter (the addressee) participates in the becoming of the work. Mention of other prin作者: CONE 時(shí)間: 2025-3-26 05:50 作者: 瑣碎 時(shí)間: 2025-3-26 10:54 作者: Anemia 時(shí)間: 2025-3-26 14:46 作者: Coma704 時(shí)間: 2025-3-26 17:57 作者: 太空 時(shí)間: 2025-3-27 00:03
Yong Chenghat are normally taught in high school geometry courses: definitions and axioms, congruence, circles and related concepts, area and the Pythagorean theorem, similarity, isometries and size transformations, and composition of transformations. Constructions and the use of transformations to carry out 作者: backdrop 時(shí)間: 2025-3-27 04:20 作者: jagged 時(shí)間: 2025-3-27 06:06 作者: 防止 時(shí)間: 2025-3-27 11:48
2190-5053 idirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models..978-981-32-9748-7Series ISSN 2190-5053 Series E-ISSN 2190-5061 作者: Malcontent 時(shí)間: 2025-3-27 14:08
Yong ChengNominated by Tsinghua University as an outstanding Ph.D. thesis.Reports on current challenges and important advances in neural machine translation.Addresses training jointly bidirectional neural machi作者: THROB 時(shí)間: 2025-3-27 20:09 作者: 復(fù)習(xí) 時(shí)間: 2025-3-28 00:26 作者: Mnemonics 時(shí)間: 2025-3-28 02:58
Springer Nature Singapore Pte Ltd. 2019作者: Bumptious 時(shí)間: 2025-3-28 07:33 作者: PRO 時(shí)間: 2025-3-28 14:02 作者: FADE 時(shí)間: 2025-3-28 15:18 作者: 類(lèi)似思想 時(shí)間: 2025-3-28 20:09 作者: 不成比例 時(shí)間: 2025-3-28 23:07
0937-7433 yntaktischen und semantischen Aspekte der Implementierung von Programmiersprachen. Dabei werden für eine einfache funktionale Sprache beispielhaft ein übersetzer und ein Interpretierer angegeben.978-3-540-57672-3978-3-642-78803-1Series ISSN 0937-7433 Series E-ISSN 2512-5214
