@InProceedings{zhu-ziminapoirot-froeliger:2026:wmt,
  author    = {Zhu, Lichao  and  Zimina-Poirot, Maria  and  Froeliger, Nicolas},
  title     = {Beyond Rankings: Insights from ALTAE's PTT-MULTITAN Submission to the WMT 2026 Shared Task on Automated Translation Quality Evaluation Systems},
  booktitle      = {Proceedings of the Eleventh Conference on Machine Translation},
  month          = {October},
  year           = {2026},
  address        = {Budapest, Hungary},
  publisher      = {Association for Computational Linguistics},
  pages     = {1770--1778},
  abstract  = {We describe PTT-MULTITAN, our submission to the WMT26 MT Evaluation shared task, Task 3 (error-free segment detection). The task requires a binary decision — does a machine translation contain any error? — without ac- cess to reference translations, and is scored with the Matthews Correlation Coefficient (MCC). Our system combines a supervised classifier fitted on WMT25 human error-span annotations with three families of reference- free indicators: structural and phraseological cues, corpus-linguistic association measures computed over an LLM-as-judge model, and format/locale conformity checks. We have im- proved our system submissions, whose MCC rises from 0.159 to 0.168. We submitted six language pairs from the official WMT26 test set. The pairs were from English into Belaru- sian, German, Russian, Ukrainian, Simplified Chinese, and Traditional Chinese.},
  url       = {https://aclanthology.org/2026.wmt-1.111}
}