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.
| ISBN: | 9789813297470 |
| Publication date: | 6th September 2019 |
| Author: | Yong Cheng |
| Publisher: | Springer Verlag, Singapore |
| Format: | Hardback |
| Pagination: | 78 pages |
| Series: | Springer Theses |
| Genres: |
Natural language and machine translation Artificial intelligence |
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.
Joint Training for Neural Machine Translation features in the following genres: Natural language and machine translation, Artificial intelligence
Joint Training for Neural Machine Translation is available in Hardback
Joint Training for Neural Machine Translation was written by Yong Cheng and published by Springer Verlag, Singapore
Joint Training for Neural Machine Translation has 78 pages
Yes it is part of Springer Theses series
£40.49