Author

Isuru Wijesiri

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#natural language process... Preprint Aug 2026

Confident but Wrong: A Constrained Decoding Diagnostic for Low-Resource Automatic Post-Editing

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, or whether the training data is too inconsistent to learn from. We introduce a black-box, inference-time diagnostic that tells these two c...

Isuru Wijesiri, Nisansa de Silva, Kavindu Warnakulasuriya et al. · 0 citations

#natural language process... Preprint Aug 2026

EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translation

EnSiTa is presented, a trilingual multi-domain parallel dataset and benchmark for English, Sinhala and Tamil, and is the most extensive systematically documented multi-domain parallel data creation and benchmarking effort for low-resource MT.

Surangika Ranathunga, Nisansa de Silva, Aloka Fernando et al. · 1 citation · ⚡1