← Authors

Yingbo Gao

20 papers · 2018–2023 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (20) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (80) ❓ The Questioner (3) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter

Conferences

EMNLP (5) AACL (4) ACL (4) IJCNLP (3) INTERSPEECH (3) COLING (1)

Top co-authors

Hermann Ney (20) Christian Herold (9) Weiyue Wang (8) Zijian Yang (8) Ralf SchlΓΌter (3) Jingjing Huo (2) Baohao Liao (2) David Thulke (2) Yunsu Kim (2) Alexander Gerstenberger (2)

Keywords

neural machine translation (11) language model (3) neural language model (3) neural network (3) machine translation (2) transfer learning (2) word error rate (2) noise contrastive estimation (2) neural language modeling (2) corpus filtering (2) variational inference (2) gaussian mixture model (2) label smoothing (2) importance sampling (2) text preprocessing (2) hidden markov model (2) automatic speech recognition (1) parallel corpus (1) data augmentation (1) document-level translation (1)

Papers

Improving Language Model Integration for Neural Machine Translation ACL 2023
Revisiting Checkpoint Averaging for Neural Machine Translation AACL 2022
Self-Normalized Importance Sampling for Neural Language Modeling INTERSPEECH 2022
Does Joint Training Really Help Cascaded Speech Translation? EMNLP 2022
Is Encoder-Decoder Redundant for Neural Machine Translation? AACL 2022
Is Encoder-Decoder Redundant for Neural Machine Translation? IJCNLP 2022
Transformer-Based Direct Hidden Markov Model for Machine Translation ACL 2021
Transformer-Based Direct Hidden Markov Model for Machine Translation IJCNLP 2021
On Sampling-Based Training Criteria for Neural Language Modeling INTERSPEECH 2021
Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020
Predicting and Using Target Length in Neural Machine Translation AACL 2020
Unifying Input and Output Smoothing in Neural Machine Translation COLING 2020
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation EMNLP 2020
Diving Deep into Context-Aware Neural Machine Translation EMNLP 2020
Investigation of Large-Margin Softmax in Neural Language Modeling INTERSPEECH 2020
uniblock: Scoring and Filtering Corpus with Unicode Block Information EMNLP 2019
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies ACL 2019
The RWTH Aachen University Machine Translation Systems for WMT 2019 ACL 2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information IJCNLP 2019
Improving Neural Language Models with Weight Norm Initialization and Regularization EMNLP 2018