Blog

Recent headlines.

1. Translation metric results: 2024 WMT neural (COMET) vs n-gram (BLEU): Fine-Tune or Not? Oct 13, 2026
2. Antigravity vs GPT-4o and Claude 3.5 Sonnet: how to verify code-generation latency and token claims Oct 10, 2026
3. Does terminology-aware domain adaptation improve consistency in low-resource neural machine translation? A before-and-after comparison of term accuracy and human ratings on one specialized corpus Oct 7, 2026
4. How to Audit Terminology Drift in NLLB-200 Constrained Translation Oct 4, 2026
5. Translation quality check: 1st diagnostic—character-level F-score (chrF), not release queue Oct 1, 2026
6. Translation metric comparison: COMET vs. character n-gram F-score (chrF)—2026 primary pick Sep 28, 2026
7. English Welsh medical translation: 10k stack vs generic deploy decision Sep 25, 2026
8. Swahili Medical Translation: No Language Left Behind (NLLB) Tune Cuts 31% vs Prompt Sep 22, 2026
9. Medical translation quality: 5% drift triggers retraining Sep 19, 2026
10. Medical translation errors: No Language Left Behind glossary vs fine-tune 22% vs 46% 2026 Sep 16, 2026
11. English to Nepali Medical Translation: 19% to 7% Glossary Lock vs Auto-Publish Sep 13, 2026
12. Medical translation accuracy test: 18% discharge-summary loss retrain or wait 2026 Sep 10, 2026
13. English Russian Fitness Translation: No Language Left Behind (NLLB) chrF++ 60 vs Tune Sep 6, 2026
14. NLLB-200 50K Medical Scoreboard: Tune vs Constrained Sep 4, 2026
15. NLLB-200 1.3B: Fine-Tune vs Constrained Beam 15 Sheng 23% Error 9 Sep 3, 2026
16. COMET-22 Scores, WMT Data, and the 2026 Translation Decision Sep 1, 2026