In the previous article we mentioned the research by Google Research team entitled “Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation,”
Humankind, in the middle of the past century, discovered nuclear power. People were trigger-happy to create a bomb and build nuclear power plants despite the lack of real knowledge and understanding…
During the model training process, a standard practice is to divide the data set into 90% for training and 10% for testing so that one can train the model on the 90% and test it on the 10%.
It was always a mystery to us why BLEU is the most widespread metric, given that hLEPOR is a more advanced solution.
