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1
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
In: https://hal.inria.fr/hal-03177623 ; 2021 (2021)
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2
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer ...
Abstract: While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation. In this paper, we evaluate leading ST automatic metrics on the oft-researched task of formality style transfer. Unlike previous evaluations, which focus solely on English, we expand our focus to Brazilian-Portuguese, French, and Italian, making this work the first multilingual evaluation of metrics in ST. We outline best practices for automatic evaluation in (formality) style transfer and identify several models that correlate well with human judgments and are robust across languages. We hope that this work will help accelerate development in ST, where human evaluation is often challenging to collect. ... : EMNLP 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2110.10668
https://dx.doi.org/10.48550/arxiv.2110.10668
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3
Can Multilinguality benefit Non-autoregressive Machine Translation? ...
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4
Assessing Reference-Free Peer Evaluation for Machine Translation ...
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5
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer ...
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6
Assessing Reference-Free Peer Evaluation for Machine Translation ...
NAACL 2021 2021; Agrawal, Sweta. - : Underline Science Inc., 2021
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7
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification ...
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8
Controlling Text Complexity in Neural Machine Translation ...
Agrawal, Sweta; Carpuat, Marine. - : arXiv, 2019
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