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Methodology
← Generation
Natural Language Processing
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Generation
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Machine Translation
1592 directly classified papers
Papers per year
2008: 1
2013: 1
2014: 1
2016: 20
2017: 84
2018: 125
2019: 190
2020: 244
2021: 197
2022: 204
2023: 193
2024: 112
2025: 219
2026: 1
Papers
Controlling Machine Translation for Multiple Attributes with Additive Interventions
EMNLP 2021
Robust Open-Vocabulary Translation from Visual Text Representations
EMNLP 2021
Don’t Go Far Off: An Empirical Study on Neural Poetry Translation
EMNLP 2021
Improving Multilingual Translation by Representation and Gradient Regularization
EMNLP 2021
MiSS: An Assistant for Multi-Style Simultaneous Translation
EMNLP 2021
TransIns: Document Translation with Markup Reinsertion
EMNLP 2021
Improving Multilingual Neural Machine Translation with Auxiliary Source Languages
EMNLP 2021
Learning and Analyzing Generation Order for Undirected Sequence Models
EMNLP 2021
Sequence-to-Lattice Models for Fast Translation
EMNLP 2021
Revisiting Robust Neural Machine Translation: A Transformer Case Study
EMNLP 2021
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
ACL 2021
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation
ACL 2021
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation
ACL 2021
Machine Translation into Low-resource Language Varieties
ACL 2021
Multilingual Agreement for Multilingual Neural Machine Translation
ACL 2021
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
ACL 2021
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
ACL 2021
Secoco: Self-Correcting Encoding for Neural Machine Translation
EMNLP 2021
The IICT-Yverdon System for the WMT 2021 Unsupervised MT and Very Low Resource Supervised MT Task
EMNLP 2021
Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
EMNLP 2021
The LMU Munich Systems for the WMT21 Unsupervised and Very Low-Resource Translation Task
EMNLP 2021
Language Model Pretraining and Transfer Learning for Very Low Resource Languages
EMNLP 2021
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021
EMNLP 2021
NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation
EMNLP 2021
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders
EACL 2021
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