I'm a PhD candidate in the Department of Computer Science, Johns Hopkins University. As a member of Center for Language and Speech Processing, I'm currently involved in research on neural machine translation. Yet personally, I'm interested in problems of different categories in the field of natural language processing (both text and speech). My primary advisor is Philipp Koehn.
Apart from my graduate studies, I have also spent a few wonderful summers either interning at Salesforce Research, Amazon or visiting The University of Edinburgh. Before joining Johns Hopkins, I got my Bachelor's degree in Beijing University of Posts & Telecommunications. During the last year of my undergraduate study, I worked with Weiwei Sun in the Language Computing and Web Mining Group of Institute of Computer Science & Technology, Peking University, with a focus on semantic parsing and Chinese word segmentation.
- July 2019: I'll be talking about my work on interpreting word alignment from NMT predictions at 16:00, August 1st, in Cavaniglia hall as part of the program for Fourth Conference on Machine Translation.
- Jun 2019: Our work on interpreting word alignment from NMT predictions will appear in Fourth Conference on Machine Translation, co-located with ACL 2019.
- May 2019: Two papers accepted at MT Summit 2019.
- Mar 2019: Our work on parallelizing StackLSTM will appear in NAACL 2019 Workshop on Structured Prediction for NLP.
- Feb 2019: New ICASSP paper accepted.
- Sep 2018: Our Interspeech 2018 paper won the best student paper award.
- 600.465: Natural Language Processing
- 600.475: Machine Learning
- 600.468: Machine Translation
- 600.676: Machine Learning: Data to Models
- 050.620: Syntax I
- 600.615: Big Data, Small Languages, Scalable Systems
- 550.661: Nonlinear Optimization I
- 600.420: Parallel Programming
- Fall 2017: Graduate Teaching Assistant, EN.600.468/601.668 Machine Translation. Checkout the neural network and NMT homework I designed.
- Spring 2017: Guest Lecture, EN.600.435 Artificial Intelligence -- Markov Decision Process
- Spring 2016: Guest Lecture, EN.600.468 Machine Translation -- Syntax-Based Models
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
Yiming Wang, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv, Yiwen Shao, Nanyun Peng, Lei Xie, Shinji Watanabe, Sanjeev Khudanpur
ASRU 2019 (To Appear) [pdf][code]
An Exploration of Masking for Neural Machine Translation
Matt Post, Shuoyang Ding, Marianna Martindale and Winston Wu
MT Summit 2019 [pdf]
Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing
Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding, Xiaojun Wan
Annual Meeting of the Association for Computational Linguistics (ACL) 2014 [pdf][bib]
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?
Shuoyang Ding and Kevin Duh, 2018 [pdf]
Backstitch: Counteracting Finite-sample Bias via Negative Steps
Yiming Wang, Hossein Hadian, Shuoyang Ding, Ke Li, Hainan Xu, Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur, 2017 [pdf]