no code implementations • RANLP 2021 • Yikuan Xie, Wenyong Wang, Mingqian Du, Qing He
It has been widely recognized that syntax information can help end-to-end neural machine translation (NMT) systems to achieve better translation.
no code implementations • COLING 2020 • Masaki Uto, Yikuan Xie, Maomi Ueno
One of the most popular hybrid methods is formulated as a DNN-AES model with an additional recurrent neural network (RNN) that processes a sequence of handcrafted sentence-level features.