6 papers · 1 filter
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
Contrastive ESA: Human Evaluation of Multiple Translations at Once
Vilém Zouhar, Roman Grundkiewicz, Sara Rajaee +6
Current human evaluation of machine translation typically assesses single outputs in isolation, a paradigm that suffers from high annotator noise and cost. We introduce Contrastive…
Testing the Deliteralization Hypothesis in Human and Machine Translation
Malik Marmonier, Rachel Bawden, Benoît Sagot
The recent shift from dedicated NMT systems to general-purpose LLMs has reshaped machine translation, with LLMs reported to produce more fluent, less literal output than their pred…
Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation
Malik Marmonier, Benoît Sagot, Rachel Bawden
This paper investigates two complementary paradigms for predicting machine translation (MT) quality: source-side difficulty prediction and candidate-side quality estimation (QE). T…
Pre-Editorial Normalization for Automatically Transcribed Medieval Manuscripts in Old French and Latin
Thibault Clérice, Rachel Bawden, Anthony Glaise +2
Recent advances in Automatic Text Recognition (ATR) have improved access to historical archives, yet a methodological divide persists between palaeographic transcriptions and norma…
Preliminary Ranking of WMT25 General Machine Translation Systems
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25
We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…