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@inproceedings{1790577, author = {Štefánik, Michal and Novotný, Vít and Sojka, Petr}, address = {Online and Punta Cana, Dominican Republi}, booktitle = {Proceedings of EMNLP 2021 Sixth Conference on Machine Translation (WMT 21)}, editor = {Loïc Barrault et al.}, keywords = {machine translation; translation quality metrics; regressive ensemble for machine translation quality evaluation}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Online and Punta Cana, Dominican Republi}, isbn = {978-1-954085-94-7}, pages = {1041-1048}, publisher = {ACL}, title = {Regressive Ensemble for Machine Translation Quality Evaluation}, url = {https://aclanthology.org/2021.wmt-1.112}, year = {2021} }
TY - JOUR ID - 1790577 AU - Štefánik, Michal - Novotný, Vít - Sojka, Petr PY - 2021 TI - Regressive Ensemble for Machine Translation Quality Evaluation PB - ACL CY - Online and Punta Cana, Dominican Republi SN - 9781954085947 KW - machine translation KW - translation quality metrics KW - regressive ensemble for machine translation quality evaluation UR - https://aclanthology.org/2021.wmt-1.112 N2 - This work introduces a simple regressive ensemble for evaluating machine translation quality based on a set of novel and established metrics. We evaluate the ensemble using a correlation to expert-based MQM scores of the WMT 2021 Metrics workshop. In both monolingual and zero-shot cross-lingual settings, we show a significant performance improvements over single systems. In the cross-lingual settings, we also demonstrate that an ensemble approach is well-applicable to unseen languages. Furthermore, we identify a strong reference-free baseline that consistently outperforms the commonly-used BLEU and METEOR measures and significantly improves our ensemble's performance. ER -
ŠTEFÁNIK, Michal, Vít NOVOTNÝ a Petr SOJKA. Regressive Ensemble for Machine Translation Quality Evaluation. Online. In Loïc Barrault et al. \textit{Proceedings of EMNLP 2021 Sixth Conference on Machine Translation (WMT 21)}. Online and Punta Cana, Dominican Republi: ACL, 2021, s.~1041-1048. ISBN~978-1-954085-94-7.
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