Joint Training for Neural Machine Translation
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 matric...
Main Author: | Cheng, Yong. (Author, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Language: | English |
Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2019.
|
Edition: | 1st ed. 2019. |
Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
|
Subjects: | |
Online Access: | https://doi.org/10.1007/978-981-32-9748-7 |
Similar Items
-
Machine Translation 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings / edited by Jiajun Chen, Jiajun Zhang.
Published: (2019) -
Chatbot Research and Design 4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 23–24, 2020, Revised Selected Papers / edited by Asbjørn Følstad, Theo Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg.
Published: (2021) -
Formal Grammar 24th International Conference, FG 2019, Riga, Latvia, August 11, 2019, Proceedings / edited by Raffaella Bernardi, Greg Kobele, Sylvain Pogodalla.
Published: (2019) -
Developments in Language Theory 24th International Conference, DLT 2020, Tampa, FL, USA, May 11–15, 2020, Proceedings / edited by Nataša Jonoska, Dmytro Savchuk.
Published: (2020) -
Integrated Formal Methods 16th International Conference, IFM 2020, Lugano, Switzerland, November 16–20, 2020, Proceedings / edited by Brijesh Dongol, Elena Troubitsyna.
Published: (2020)