Shuoyang Ding

According to our database1, Shuoyang Ding authored at least 23 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models.
CoRR, June, 2025

Word Level Timestamp Generation for Automatic Speech Recognition and Translation.
CoRR, May, 2025

Granary: Speech Recognition and Translation Dataset in 25 European Languages.
CoRR, May, 2025

Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation.
CoRR, February, 2025

EMMeTT: Efficient Multimodal Machine Translation Training.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2022
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation.
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Evaluating Saliency Methods for Neural Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Levenshtein Training for Word-level Quality Estimation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019
A Call for Prudent Choice of Subword Merge Operations.
CoRR, 2019

Saliency-driven Word Alignment Interpretation for Neural Machine Translation.
Proceedings of the Fourth Conference on Machine Translation, 2019

An Exploration of Placeholding in Neural Machine Translation.
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 2019

A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation.
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 2019

Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2019

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Parallelizable Stack Long Short-Term Memory.
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, 2019

2018
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?
CoRR, 2018

Multi-Modal Data Augmentation for End-to-end ASR.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
The JHU Machine Translation Systems for WMT 2017.
Proceedings of the Second Conference on Machine Translation, 2017

2016
The JHU Machine Translation Systems for WMT 2016.
Proceedings of the First Conference on Machine Translation, 2016

2014
Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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