Fact over Fiction: Detection of Pathological Hallucinations in Sinhala-to-English Neural Machine Translation

arXiv:2610.11389 · cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/Imanjith/synthetic-sinhala-english-dataset

Terminology

• Hallucination — 49× in this paper · explained in 3 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• AUROC — 9× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Neural Machine Translation — 8× in this paper
• Ablation — 7× in this paper · explained in 1 episode
• Hallucination Detection — 7× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Semantic Drift — 5× in this paper · explained in 3 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• Low-Resource Languages — 2× in this paper · explained in 4 episodes
• Monte Carlo dropout — 2× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Exposure Bias — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
• No Language Left Behind: Scaling Human-Centered Machine Translation

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