Detecting Post-edited References and Their Effect on Human Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440545" target="_blank" >RIV/00216208:11320/21:10440545 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2021.humeval-1.13.pdf" target="_blank" >https://aclanthology.org/2021.humeval-1.13.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detecting Post-edited References and Their Effect on Human Evaluation
Original language description
This paper provides a quick overview of possible methods how to detect that reference translations were actually created by post-editing an MT system. Two methods based on automatic metrics are presented: BLEU difference between the suspected MT and some other good MT and BLEU difference using additional references. These two methods revealed a suspicion that the WMT 2020 Czech reference is based on MT. The suspicion was confirmed in a manual analysis by finding concrete proofs of the post-editing procedure in particular sentences. Finally, a typology of post-editing changes is presented where typical errors or changes made by the post-editor or errors adopted from the MT are classified.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)
ISBN
978-1-954085-10-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
114-119
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, USA
Event location
Online
Event date
Apr 17, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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