Deep Architectures for Neural Machine Translation

WMT, pp. 99-107, 2017.

Cited by: 41|Bibtex|Views65|DOI:https://doi.org/10.18653/v1/W17-4710
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

It has been shown that increasing model depth improves the quality of neural machine translation. However, different architectural variants to increase model depth have been proposed, and so far, there has been no thorough comparative study. In this work, we describe and evaluate several existing approaches to introduce depth in neural ma...More

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