Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv
Joint Training for Neural Machine Translation
Engelsk Hardback
Joint Training for Neural Machine Translation
Engelsk Hardback

478 kr
Tilføj til kurv
Sikker betaling
6 - 8 hverdage

Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
78
ISBN-13:
9789813297470
Indbinding:
Hardback
Udgave:
ISBN-10:
9813297476
Udg. Dato:
6 sep 2019
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
6 sep 2019
Forfatter(e):
Kategori sammenhænge