Paper Info
Title
Online Versus Offline NMT Quality - An In-depth Analysis on English-German and German-English.
Abstract
We conduct in this work an evaluation study comparing offline and online neural machine translation architectures. Two sequence-to-sequence models: convolutional Pervasive Attention (Elbayad et al., 2018) and attention-based Transformer (Vaswani et al., 2017) are considered. We investigate, for both architectures, the impact of online decoding constraints on the translation quality through a carefully designed human evaluation on English-German and German-English language pairs, the latter being particularly sensitive to latency constraints. The evaluation results allow us to identify the strengths and shortcomings of each model when we shift to the online setup.
Year
DOI
Venue
2020
10.18653/V1/2020.COLING-MAIN.443
COLING
DocType
Volume
Citations 
Conference
2020.coling-main
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Maha Elbayad122.73
Michael Ustaszewski200.34
Emmanuelle Esperança-Rodier300.34
Francis Brunet-Manquat400.34
J. J. Verbeek53944181.44
laurent besacier6696102.67