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Natural Language Processing
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Applications
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Machine Translation
4518 directly classified papers
Papers per year
2002: 1
2003: 1
2006: 2
2007: 3
2008: 1
2010: 1
2011: 1
2012: 1
2013: 2
2014: 1
2015: 1
2016: 38
2017: 105
2018: 344
2019: 452
2020: 524
2021: 686
2022: 501
2023: 508
2024: 587
2025: 655
2026: 103
Papers
Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task
ACL 2020
Simultaneous Translation and Paraphrase for Language Education
ACL 2020
End-to-End Neural Word Alignment Outperforms GIZA++
ACL 2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
ACL 2020
Improving Autoregressive NMT with Non-Autoregressive Model
ACL 2020
Combining Subword Representations into Word-level Representations in the Transformer Architecture
ACL 2020
OPPO’s Machine Translation System for the IWSLT 2020 Open Domain Translation Task
ACL 2020
The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education
ACL 2020
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
EMNLP 2020
Knowledge Graphs Enhanced Neural Machine Translation
IJCAI 2020
Learning Adaptive Segmentation Policy for Simultaneous Translation
EMNLP 2020
Translation Quality Estimation by Jointly Learning to Score and Rank
EMNLP 2020
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
EMNLP 2020
A Streaming Approach For Efficient Batched Beam Search
EMNLP 2020
Towards Making the Most of Context in Neural Machine Translation
IJCAI 2020
Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating
IJCAI 2020
Neural Machine Translation with Error Correction
IJCAI 2020
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization
EMNLP 2020
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers
EMNLP 2020
Multi-task Learning for Multilingual Neural Machine Translation
EMNLP 2020
Token-level Adaptive Training for Neural Machine Translation
EMNLP 2020
On the Sparsity of Neural Machine Translation Models
EMNLP 2020
Self-Paced Learning for Neural Machine Translation
EMNLP 2020
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations
EMNLP 2020
Can Automatic Post-Editing Improve NMT?
EMNLP 2020
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