Joint Training for Neural Machine Translation (Hardcover)
Yong Cheng
ISBN 10: 9813297476 ISBN 13: 9789813297470
Published by Springer Verlag, Singapore, Singapore, 2019
New
Hardcover
From
Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since October 12, 2005
This specific item is no longer available.
About this Item
Description:
Hardcover. This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy 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 incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models. This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789813297470
Synopsis:
This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy 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 incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.
About the Author:
Yong Cheng is currently a software engineer engaged in research at Google. Before joining Google, he worked as a senior researcher at Tencent AI Lab. He obtained his Ph.D. from the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in 2017. His research interests focus on neural machine translation and natural language processing.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Joint Training for Neural Machine ...
Publisher: Springer Verlag, Singapore, Singapore
Publication Date: 2019
Binding: Hardcover
Condition: new
Top Search Results from the AbeBooks Marketplace
Stock Image
Joint Training for Neural Machine Translation.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Seller rating 5 out of 5 stars
XIII, 78 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Theses. Recognizing Outstanding Ph.D. Research. Sprache: Englisch. Seller Inventory # 10114GB
Seller Image
Joint Training for Neural Machine Translation
Print on DemandSeller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated by Tsinghua University as an outstanding Ph.D. thesisReports on current challenges and important advances in neural machine translationAddresses training jointly bidirectional neural machine translation modelsIncorporates a. Seller Inventory # 303742519
Buy New
US$ 57.81
Shipping:
US$ 56.84
From Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Joint Training for Neural Machine Translation (Springer Theses)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Apr0412070096979
Seller Image
Joint Training for Neural Machine Translation
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 37734954-n
Seller Image
Joint Training for Neural Machine Translation
Published by
Springer Nature Singapore Sep 2019, 2019
ISBN 10: 9813297476
ISBN 13: 9789813297470
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy 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 incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models. 92 pp. Englisch. Seller Inventory # 9789813297470
Seller Image
Joint Training for Neural Machine Translation
Published by
Springer Nature Singapore, Springer Nature Singapore Sep 2019, 2019
ISBN 10: 9813297476
ISBN 13: 9789813297470
New
Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy 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 incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch. Seller Inventory # 9789813297470
Seller Image
Joint Training for Neural Machine Translation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 37734954-n
Buy New
US$ 66.75
Shipping:
US$ 19.79
From United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Joint Training for Neural Machine Translation (Springer Theses)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9789813297470_new
Buy New
US$ 66.76
Shipping:
US$ 15.81
From United Kingdom to U.S.A.
Quantity: Over 20 available
Seller Image
Joint Training for Neural Machine Translation
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 37734954
Seller Image
Joint Training for Neural Machine Translation
Published by
Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9813297476
ISBN 13: 9789813297470
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy 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 incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models. Seller Inventory # 9789813297470