@inproceedings{nunziatini-alfieri-2021-synthesis,
title = "A Synthesis of Human and Machine: Correlating {``}New{''} Automatic Evaluation Metrics with Human Assessments",
author = "Nunziatini, Mara and
Alfieri, Andrea",
editor = "Campbell, Janice and
Huyck, Ben and
Larocca, Stephen and
Marciano, Jay and
Savenkov, Konstantin and
Yanishevsky, Alex",
booktitle = "Proceedings of Machine Translation Summit XVIII: Users and Providers Track",
month = aug,
year = "2021",
address = "Virtual",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2021.mtsummit-up.29",
pages = "440--465",
abstract = "The session will provide an overview of some of the new Machine Translation metrics available on the market, analyze if and how these new metrics correlate at a segment level to the results of Adequacy and Fluency Human Assessments, and how they compare against TER scores and Levenshtein Distance {--} two of our currently preferred metrics {--} as well as against each of the other. The information in this session will help to get a better understanding of their strengths and weaknesses and make informed decisions when it comes to forecasting MT production.",
}
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<abstract>The session will provide an overview of some of the new Machine Translation metrics available on the market, analyze if and how these new metrics correlate at a segment level to the results of Adequacy and Fluency Human Assessments, and how they compare against TER scores and Levenshtein Distance – two of our currently preferred metrics – as well as against each of the other. The information in this session will help to get a better understanding of their strengths and weaknesses and make informed decisions when it comes to forecasting MT production.</abstract>
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%0 Conference Proceedings
%T A Synthesis of Human and Machine: Correlating “New” Automatic Evaluation Metrics with Human Assessments
%A Nunziatini, Mara
%A Alfieri, Andrea
%Y Campbell, Janice
%Y Huyck, Ben
%Y Larocca, Stephen
%Y Marciano, Jay
%Y Savenkov, Konstantin
%Y Yanishevsky, Alex
%S Proceedings of Machine Translation Summit XVIII: Users and Providers Track
%D 2021
%8 August
%I Association for Machine Translation in the Americas
%C Virtual
%F nunziatini-alfieri-2021-synthesis
%X The session will provide an overview of some of the new Machine Translation metrics available on the market, analyze if and how these new metrics correlate at a segment level to the results of Adequacy and Fluency Human Assessments, and how they compare against TER scores and Levenshtein Distance – two of our currently preferred metrics – as well as against each of the other. The information in this session will help to get a better understanding of their strengths and weaknesses and make informed decisions when it comes to forecasting MT production.
%U https://aclanthology.org/2021.mtsummit-up.29
%P 440-465
Markdown (Informal)
[A Synthesis of Human and Machine: Correlating “New” Automatic Evaluation Metrics with Human Assessments](https://aclanthology.org/2021.mtsummit-up.29) (Nunziatini & Alfieri, MTSummit 2021)
ACL