Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level

25 August 2023

Papers citing "Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level"

8 / 8 papers shown

Title
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? HyoJung Han Akiko Eriguchi Haoran Xu Hieu T. Hoang Marine Carpuat Huda Khayrallah VLM 40 2 0 12 Oct 2024
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy Brian Thompson Nitika Mathur Daniel Deutsch Huda Khayrallah 33 9 0 15 Sep 2024
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models Linghao Jin Li An Xuezhe Ma 34 0 0 12 Jul 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms Firas Trabelsi David Vilar Mara Finkelstein Markus Freitag 37 6 0 05 Jun 2024
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection Nuno M. Guerreiro Ricardo Rei Daan van Stigt Luísa Coheur Pierre Colombo André F.T. Martins 48 113 0 16 Oct 2023
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window Vikas Raunak Tom Kocmi Matt Post 33 6 0 16 Sep 2023
Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric Giorgos Vernikos Brian Thompson Prashant Mathur Marcello Federico 41 40 0 27 Sep 2022
Rethinking Document-level Neural Machine Translation Zewei Sun Mingxuan Wang Hao Zhou Chengqi Zhao Shujian Huang Jiajun Chen Lei Li VLM 83 47 0 18 Oct 2020