Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

AbstractHuman evaluation of modern high-quality machine translation systems is a difficult problem, and there is increasing evidence that inadequate evaluation procedures can lead to erroneous conclusions. While there has been considerable research on human evaluation, the field stil...

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Bibliographic Details
Main Authors: Markus Freitag, George Foster, David Grangier, Viresh Ratnakar, Qijun Tan, Wolfgang Macherey
Format: Article
Language:English
Published: The MIT Press 2021-01-01
Series:Transactions of the Association for Computational Linguistics
Online Access:https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00437/108866/Experts-Errors-and-Context-A-Large-Scale-Study-of

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https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00437/108866/Experts-Errors-and-Context-A-Large-Scale-Study-of

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