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Shuoyang Ding

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About

I'm a Ph.D. candidate in the Department of Computer Science, Johns Hopkins University. As a member of Center for Language and Speech Processing, I'm currently doing research on neural machine translation. Yet, I do have a general interest 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 memorable months either interning at Microsoft Translator, 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.

News

Courses

Teaching

Publications

  • The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task
    Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Christian Federmann, Philipp Koehn
    Sixth Conference on Machine Translation (WMT) 2021 (To Appear) [pdf]

  • Levenshtein Training for Word-level Quality Estimation
    Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Philipp Koehn
    EMNLP 2021 (To Appear) [pdf]

  • Evaluating Saliency Methods for Neural Language Models
    Shuoyang Ding, Philipp Koehn
    NAACL 2021 [pdf][code][slides]

  • 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 [pdf][code]

  • A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation
    Shuoyang Ding, Adithya Renduchintala, Kevin Duh
    MT Summit 2019 [pdf][code][poster]

  • An Exploration of Masking for Neural Machine Translation
    Matt Post, Shuoyang Ding, Marianna Martindale and Winston Wu
    MT Summit 2019 [pdf]

  • Saliency-driven Word Alignment Interpretation for Neural Machine Translation
    Shuoyang Ding, Hainan Xu, Philipp Koehn
    Fourth Conference on Machine Translation (WMT) 2019 [pdf][code][slides]

  • 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]

Preprints

  • Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
    Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn, 2021 [pdf]

  • 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]