Yuguang Wang


The Sogou-TIIC Speech Translation System for IWSLT 2018
Yuguang Wang | Liangliang Shi | Linyu Wei | Weifeng Zhu | Jinkun Chen | Zhichao Wang | Shixue Wen | Wei Chen | Yanfeng Wang | Jia Jia
Proceedings of the 15th International Conference on Spoken Language Translation

This paper describes our speech translation system for the IWSLT 2018 Speech Translation of lectures and TED talks from English to German task. The pipeline approach is employed in our work, which mainly includes the Automatic Speech Recognition (ASR) system, a post-processing module, and the Neural Machine Translation (NMT) system. Our ASR system is an ensemble system of Deep-CNN, BLSTM, TDNN, N-gram Language model with lattice rescoring. We report average results on tst2013, tst2014, tst2015. Our best combination system has an average WER of 6.73. The machine translation system is based on Google’s Transformer architecture. We achieved an improvement of 3.6 BLEU over baseline system by applying several techniques, such as cleaning parallel corpus, fine tuning of single model, ensemble models and re-scoring with additional features. Our final average result on speech translation is 31.02 BLEU.


Sogou Neural Machine Translation Systems for WMT17
Yuguang Wang | Shanbo Cheng | Liyang Jiang | Jiajun Yang | Wei Chen | Muze Li | Lin Shi | Yanfeng Wang | Hongtao Yang
Proceedings of the Second Conference on Machine Translation


The USTC machine translation system for IWSLT 2014
Shijin Wang | Yuguang Wang | Jianfeng Li | Yiming Cui | Lirong Dai
Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign