Data Diversification: An Elegant Strategy For Neural Machine Translation
Table 13: The average value of E[1N∑NipMi(yij|yi
['[EMPTY]', '[BOLD] En-De', '[BOLD] De-En', '[BOLD] En-Fr', '[BOLD] Fr-En']
Through certain experiments we will discuss later, we observe that our method is able to achieve high performance gain under the following conditions: Both sides of Eqn. This can be realized when the teacher models are well-trained from the parallel data. ,N} and yij=yej∀yj. First, when the constituent models Mi are well-trained (but not overfitted), the confidence of the models is also high. This results in the expectation E[maxykj1N∑NipMi(ykj|y