2 papers
cs.CL2026
Confident but Wrong: A Constrained Decoding Diagnostic for Low-Resource Automatic Post-Editing
Isuru Wijesiri, Nisansa de Silva, Kavindu Warnakulasuriya +2
Automatic Post-Editing (APE) for low-resource languages (LRLs) often fails to improve Machine Translation (MT), and the score alone cannot say why: whether more training would help…
cs.CL2026
EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translation
Surangika Ranathunga, Nisansa de Silva, Aloka Fernando +8
Machine Translation (MT) for low-resource languages remains far behind that of high-resource languages, and the gap is widest in specialised domains, where parallel data is scarce…