Get started
Author

Shuoyang Ding

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
2019 · Yiming Wang, Tongfei Chen, et al. · IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · 65
PDF
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
2019 · Shuoyang Ding, Hainan Xu, et al. · Conference on Machine Translation (WMT) · 59
PDF
Multi-Modal Data Augmentation for End-to-end ASR
2018 · Adithya Renduchintala, Shuoyang Ding, et al. · Interspeech (USB) · 56
PDF
A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation
2019 · Ding, Shuoyang, Renduchintala, Adithya, et al. · arXiv (Cornell University) · 49
PDF
Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling
2019 · Hainan Xu, Shuoyang Ding, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 38
PDF
Evaluating Saliency Methods for Neural Language Models
2021 · Shuoyang Ding, Philipp Koehn · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 37
PDF
The JHU Machine Translation Systems for WMT 2016
2016 · Shuoyang Ding, Kevin Duh, et al. · 19
PDF
The JHU Machine Translation Systems for WMT 2017
2017 · Shuoyang Ding, Huda Khayrallah, et al. · Conference on Machine Translation (WMT) · 17
PDF
Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing
2014 · Weiwei Sun, Yantao Du, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 10
PDF
An Exploration of Placeholding in Neural Machine Translation.
2019 · Matt Post, Shuoyang Ding, et al. · 8
Granary: Speech Recognition and Translation Dataset in 25 European Languages
2025 · Nithin Rao Koluguri, Monica Sekoyan, et al. · Interspeech (USB) · 4
PDF
EMMeTT: Efficient Multimodal Machine Translation Training
2025 · Piotr Żelasko, Zhehuai Chen, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 4
PDF
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains
2024 · Vilém Zouhar, Shuoyang Ding, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 4
PDF
Levenshtein Training for Word-level Quality Estimation
2021 · Shuoyang Ding, Marcin Junczys-Dowmunt, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
PDF
Parallelizable Stack Long Short-Term Memory
2019 · Shuoyang Ding, Philipp Koehn · 4
Word Level Timestamp Generation for Automatic Speech Recognition and Translation
2025 · Ke Hu, Krishna Puvvada, et al. · Interspeech (USB) · 3
PDF
A Call for Prudent Choice of Subword Merge Operations.
2019 · Shuoyang Ding, Adithya Renduchintala, et al. · arXiv (Cornell University) · 3
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?
2018 · Ding, Shuoyang, Duh, Kevin · arXiv (Cornell University) · 2
PDF
NVIDIA Nemotron 3: Efficient and Open Intelligence
2025 · NVIDIA, :, et al. · arXiv (Cornell University) · 1
PDF
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains
2024 · Zouhar, Vilém, Ding, Shuoyang, et al. · arXiv (Cornell University) · 1
PDF
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task
2021 · Ding, Shuoyang, Junczys-Dowmunt, Marcin, et al. · arXiv (Cornell University) · 1
PDF
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026 · NVIDIA, :, et al. · arXiv (Cornell University)
PDF
Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech
2026 · Ouyang, Siqi, Ding, Shuoyang, et al. · arXiv (Cornell University)
Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech
2026 · Ouyang, Siqi, Ding, Shuoyang, et al. · arXiv (Cornell University)
PDF
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026 · NVIDIA, :, et al. · arXiv (Cornell University)
PDF
Works count: 37
Citation count: 389
H-index: 9
I10-index: 9
Year
Topic
Type