Unsupervised Quality Estimation for Neural Machine Translation

Fomicheva Marina
Fomicheva Marina
Sun Shuo
Sun Shuo
Yankovskaya Lisa
Yankovskaya Lisa
Guzmán Francisco
Guzmán Francisco
Fishel Mark
Fishel Mark
Aletras Nikolaos
Aletras Nikolaos

Transactions of the Association for Computational Linguistics, pp. 539-555, 2020.

Cited by: 0|Bibtex|Views54|DOI:https://doi.org/10.1162/TACL_A_00330
Other Links: arxiv.org|academic.microsoft.com

Abstract:

Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT output at test tim...

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