A neural generative autoencoder for bilingual word embeddings

Bilingual word embeddings (BWEs) have been shown to be useful in various cross-lingual natural language processing tasks. To accurately learn BWEs, previous studies often resort to discriminative approaches which explore semantic proximities between translation equivalents of different languages. In...

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Bibliographic Details

Published in:	Information sciences Vol. 424; pp. 287 - 300
Main Authors:	Su, Jinsong, Wu, Shan, Zhang, Biao, Wu, Changxing, Qin, Yue, Xiong, Deyi
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2018
Subjects:	Bilingual word embeddings Cross-lingual document classification Neural generative autoencoder Translation probability modeling Translation probability modeling Bilingual word embeddings Cross-lingual document classification Neural generative autoencoder
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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