lhan87 / mcmc_tqe

Monte Carlo Modelling of Confidence Intervals in Translation Quality Evaluation (TQE) and Post-Editing Distance (PED) Measurement

MCMC_TQE Project

**Monte Carlo Modelling of Confidence Intervals in Translation Quality Evaluation (TQE) and Post-Editing Distance (PED) Measurement

paper link https://github.com/lHan87/MCMC_TQE/blob/main/2022.lrec-1.156_TQE_uncertainty.pdf

Download our LREC2022 conference poster:

https://github.com/lHan87/MCMC_TQE/blob/main/poster-v2.pdf

or you might be interested in our Tutorial in LREC2022 on 'Meta-eval' https://github.com/poethan/LREC22_MetaEval_Tutorial

Citation:

S Gladkoff, I Sorokina, L Han, A Alekseeva. (2021). Measuring Uncertainty in Translation Quality Evaluation (TQE). arXiv preprint arXiv:2111.07699 https://arxiv.org/abs/2111.07699

or

S Gladkoff, I Sorokina, L Han, A Alekseeva. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 1454–1461 Marseille, 20-25 June 2022 © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0

Alexandra Alekseeva, Serge Gladkoff, Irina Sorokina, Lifeng Han. Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement. Publication date. 2021/10/23. Conference Metrics 2021: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021.

Contact

[email protected] (firstname: lifeng; lastname: han)

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