Shuoyang Ding bio photo

Shuoyang Ding

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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.


  • Jun 2019: I'll be talking about my work on parallelizing StackLSTM at Nicolett B/C, 11:40am, June 7th as part of the program for NAACL 2019 Workshop on Structured Prediction for NLP.
  • 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.




  • Saliency-driven Word Alignment Interpretation for Neural Machine Translation
    Shuoyang Ding, Hainan Xu, Philipp Koehn
    WMT 2019 (To Appear)

  • A Call for Prudent Choice of Subword Merge Operations
    Shuoyang Ding, Adithya Renduchintala, Kevin Duh
    MT Summit 2019 (To Appear) [pdf]

  • An Exploration of Masking for Neural Machine Translation
    Matt Post, Shuoyang Ding, Marianna Martindale and Winston Wu
    MT Summit 2019 (To Appear)

  • Parallelizable Stack Long Short-Term Memory
    Shuoyang Ding, Philipp Koehn
    NAACL 2019 Workshop on Structured Prediction for NLP [pdf][bib][code][slides]

  • Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling
    Hainan Xu, Shuoyang Ding, Shinji Watanabe
    ICASSP 2019 [pdf][bib][code]

  • Multi-Modal Data Augmentation for End-to-end ASR
    Adithya Renduchintala, Shuoyang Ding, Matthew Wiesner, Shinji Watanabe
    Interspeech 2018 Best Student Paper Award (3/700+) [pdf][bib]

  • The JHU Machine Translation Systems for WMT 2017
    Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, and Kevin Duh
    Second Conference on Machine Translation (WMT) 2017 [pdf][bib]

  • The JHU Machine Translation Systems for WMT 2016
    Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, and Matt Post
    First Conference on Machine Translation (WMT) 2016 [pdf][bib]

  • 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]