Overcoming Data Challenges in Neural Machine Translation
With the development of deep neural networks, the accuracy of machine translation has been significantly improved, but the problem of human cross-language communication has not been solved. For example, in high-precision simultaneous interpretation tasks, machine translation still needs to be polished. For the translation of novels, machine translation is not comparable to human translation.