MERT training programs

MERT (Minimum Error Rate Training) is a method used to improve the performance of statistical models, particularly in machine translation. It works by adjusting model parameters directly to minimize errors in translation quality, based on a specific evaluation metric. During training, it tests different settings, compares the results, and fine-tunes the model to produce more accurate translations according to the chosen measure. Essentially, MERT iteratively searches for the best settings that lead to the highest-quality translations, helping the system become more effective and reliable.