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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
Tagged Back-translation Revisited: Why Does It Really Work?
ACL 2020
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation
ACL 2020
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain
ACL 2020
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus
ACL 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation
ACL 2020
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
ACL 2020
Joint Translation and Unit Conversion for End-to-end Localization
ACL 2020
How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech
ACL 2020
Findings of the Fourth Workshop on Neural Generation and Translation
ACL 2020
Balancing Cost and Benefit with Tied-Multi Transformers
ACL 2020
Meta-Learning for Few-Shot NMT Adaptation
ACL 2020
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs
ACL 2020
Improving Document-Level Neural Machine Translation with Domain Adaptation
ACL 2020
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages
ACL 2020
TICO-19: the Translation Initiative for COvid-19
EMNLP 2020
Accurate Word Alignment Induction from Neural Machine Translation
EMNLP 2020
Shallow-to-Deep Training for Neural Machine Translation
EMNLP 2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
EMNLP 2020
Multi-Unit Transformers for Neural Machine Translation
EMNLP 2020
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
EMNLP 2020
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation
EMNLP 2020
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
EMNLP 2020
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems
EMNLP 2020
Translation Quality Estimation by Jointly Learning to Score and Rank
EMNLP 2020
Direct Segmentation Models for Streaming Speech Translation
EMNLP 2020
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