Jingyi Zhang

Improving Neural Machine Translation through Phrase-based Forced Decoding

2017 · International Joint Conference on Natural Language Processing

Compared to traditional statistical machine translation (SMT), neural machine translation (NMT) often sacrifices adequacy for the sake of fluency. We propose a method to combine the advantages of traditional SMT and NMT by exploiting an …

Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory

2023

Black-box unsupervised domain adaptation (UDA) learns with source predictions of target data without accessing either source data or source models during training, and it has clear superiority in data privacy and flexibility in target network …

Guiding Neural Machine Translation with Retrieved Translation Pieces

2018

Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Graham Neubig, Satoshi Nakamura. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.