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Anna Currey

Copied Monolingual Data Improves Low-Resource Neural Machine Translation
2017 · Anna Currey, Antonio Valerio Miceli Barone, et al. · Conference on Machine Translation (WMT) · 208
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The University of Edinburgh's Neural MT Systems for WMT17
2017 · Rico Sennrich, Alexandra Birch, et al. · Conference on Machine Translation (WMT) · 134
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Findings of the IWSLT 2022 Evaluation Campaign
2022 · Antonios Anastasopoulos, Loïc Barrault, et al. · International Conference on Spoken Language Translation (IWSLT) · 80
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Incorporating Source Syntax into Transformer-Based Neural Machine Translation
2019 · Anna Currey, Kenneth Heafield · Conference on Machine Translation (WMT) · 62
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Findings of the Iwslt 2023 Evaluation Campaign
2023 · Milind Agarwal, Sweta Agrawal, et al. · International Conference on Spoken Language Translation (IWSLT) · 57
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Multi-Source Syntactic Neural Machine Translation
2018 · Anna Currey, Kenneth Heafield · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 25
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MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
2022 · Anna Currey, Maria Nadejde, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 23
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Zero-Resource Neural Machine Translation with Monolingual Pivot Data
2019 · Anna Currey, Kenneth Heafield · 20
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CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality
2022 · Maria Nadejde, Anna Currey, et al. · Findings of the Association for Computational Linguistics: NAACL · 18
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Distilling Multiple Domains for Neural Machine Translation
2020 · Anna Currey, Prashant Mathur, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 18
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The University of Edinburgh's Neural MT Systems for WMT17
2017 · Sennrich, Rico, Birch, Alexandra, et al. · arXiv (Cornell University) · 16
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Sockeye 3: Fast Neural Machine Translation with PyTorch
2022 · Hieber, Felix, Denkowski, Michael, et al. · arXiv (Cornell University) · 11
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Improving Gender Translation Accuracy with Filtered Self-Training
2021 · Choubey, Prafulla Kumar, Currey, Anna, et al. · arXiv (Cornell University) · 10
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Dynamic adjustment of language models for automatic speech recognition using word similarity
2016 · Anna Currey, Irina Illina, et al. · IEEE Spoken Language Technology Workshop (SLT) · 10
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation
2021 · Prafulla Kumar Choubey, Anna Currey, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 8
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Using Related Languages to Enhance Statistical Language Models
2016 · Anna Currey, Alina Karakanta, et al. · 8
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MemInsight: Autonomous Memory Augmentation for LLM Agents
2025 · Rana Salama, Jason Cai, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 6
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains
2024 · Vilém Zouhar, Shuoyang Ding, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 4
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RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation
2023 · Gabriele Sarti, Phu Mon Htut, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 4
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Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation
2018 · Anna Currey, Kenneth Heafield · 4
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Multi-Source Syntactic Neural Machine Translation
2018 · Currey, Anna, Heafield, Kenneth · arXiv (Cornell University) · 3
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Faithful Target Attribute Prediction in Neural Machine Translation
2021 · Niu, Xing, Dinu, Georgiana, et al. · arXiv (Cornell University) · 2
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Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains
2024 · Zouhar, Vilém, Ding, Shuoyang, et al. · arXiv (Cornell University) · 1
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Pseudo-Label Training and Model Inertia in Neural Machine Translation
2023 · Hsu, Benjamin, Currey, Anna, et al. · arXiv (Cornell University) · 1
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MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
2022 · Currey, Anna, Nădejde, Maria, et al. · arXiv (Cornell University) · 1
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Works count: 35
Citation count: 734
H-index: 11
I10-index: 14
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