4 papers
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…
Explicit Learning and the LLM in Machine Translation
Malik Marmonier, Rachel Bawden, Benoît Sagot
This study explores an LLM's ability to learn new languages using explanations found in a grammar book, a process we term "explicit learning." To rigorously assess this ability, we…
A French Version of the OLDI Seed Corpus
Malik Marmonier, Benoît Sagot, Rachel Bawden
We present the first French partition of the OLDI Seed Corpus, our submission to the WMT 2025 Open Language Data Initiative (OLDI) shared task. We detail its creation process, whic…