@InProceedings{mongush-pukhov:2026:wmt,
  author    = {Mongush, Airana  and  Pukhov, Dmitrii},
  title     = {Algebras FluencyScore at WMT26 Automated Translation Quality Evaluation},
  booktitle      = {Proceedings of the Eleventh Conference on Machine Translation},
  month          = {October},
  year           = {2026},
  address        = {Budapest, Hungary},
  publisher      = {Association for Computational Linguistics},
  pages     = {1718--1722},
  abstract  = {We describe the Algebras FluencyScore submissions to the WMT26 Automated Translation Quality Evaluation shared task (Tasks 1-2). FluencyScore is a reference-free structured LLM judge: five fluency sub-dimensions, a fixed-weight aggregate, and a diagnostic error record (issue type, severity, problem phrase). This system paper adapts that judge rather than replacing it. For Task 1 the diagnostic record is specialized into a multi-error character-span annotator with deterministic phrase-to-offset alignment, merge / whole-segment post-processing, and a conservative add-only overlay. For Task 2 the calibrated scalar is mapped onto the cESA scale with a WMT25-fitted affine adapter and moment matching (aira\_mo). Submitted systems use Gemini 3.5 Flash and cover all 21 official pairs plus challenge sets. Official human-cESA rankings were not available at camera-ready time; we report no ranks and no Codabench verification scores.},
  url       = {https://aclanthology.org/2026.wmt-1.104}
}