--- title: "Who cites Marian: Fast Neural Machine Translation in C++" description: "422 papers of the Elamur Research library cite «Marian: Fast Neural Machine Translation in C++», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/junczys-dowmunt-2018-marian-fast-neural-machine-translation/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/junczys-dowmunt-2018-marian-fast-neural-machine-translation/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Marian: Fast Neural Machine Translation in C++](https://md.research.elamur.ai/free/en/papers/junczys-dowmunt-2018-marian-fast-neural-machine-translation/) / cited by # Who cites «Marian: Fast Neural Machine Translation in C++» 422 papers of our library cite it (of the 140,884 whose bibliographies we read) · 28 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/junczys-dowmunt-2018-marian-fast-neural-machine-translation/) 1. [**Transformers: State-of-the-Art Natural Language Processing**Thomas Wolf, Lysandre Debut, Victor Sanh, et al.*2020 · 15,591 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/) 2. [**fairseq: A Fast, Extensible Toolkit for Sequence Modeling**Myle Ott, Sergey Edunov, Alexei Baevski, et al.*2019 · 3,941 citations*](https://md.research.elamur.ai/free/en/papers/ott-2019-fairseq-fast-extensible-toolkit-sequence/) 3. [**Findings of the 2019 Conference on Machine Translation (WMT19)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 839 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/) 4. [**Findings of the 2018 Conference on Machine Translation (WMT18)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 747 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/) 5. [**AlignScore: Evaluating Factual Consistency with A Unified Alignment Function**Yuheng Zha, Yichi Yang, Ruichen Li, et al.*2023 · 280 citations*](https://md.research.elamur.ai/free/en/papers/zha-2023-alignscore-evaluating-factual-consistency-unified/) 6. [**FUDGE: Controlled Text Generation With Future Discriminators**Kevin Yang, Dan Klein*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/) 7. [**Findings of the Third Shared Task on Multimodal Machine Translation**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/) 8. [**Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora**Marcin Junczys-Dowmunt*2018 · 200 citations*](https://md.research.elamur.ai/free/en/papers/dowmunt-2018-dual-conditional-cross-entropy-filtering/) 9. [**On the Impact of Various Types of Noise on Neural Machine Translation**Huda Khayrallah, Philipp Koehn*2018 · 188 citations*](https://md.research.elamur.ai/free/en/papers/khayrallah-2018-impact-various-types-noise-neural/) 10. [**The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT**Jörg Tiedemann*2020 · 183 citations*](https://md.research.elamur.ai/free/en/papers/tiedemann-2020-tatoeba-translation-challenge-realistic-data/) 11. [**Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering**Philipp Koehn, Huda Khayrallah, Kenneth Heafield, et al.*2018 · 181 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2018-findings-wmt-2018-shared-task/) 12. [**NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/) 13. [**TICO-19: the Translation Initiative for COvid-19**Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, et al.*2020 · 133 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2020-tico-19-translation-initiative-covid/) 14. [**Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 105 citations*](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/) 15. [**A Large-Scale Comparison of Historical Text Normalization Systems**Marcel Bollmann*2019 · 99 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2019-large-scale-comparison-historical-text/) 16. [**Bifixer and Bicleaner: two open-source tools to clean your parallel data**Gema Ramírez-Sánchez, Jaume Zaragoza-Bernabeu, Marta Bañón, et al.*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/sanchez-2020-bifixer-bicleaner-two-open-source/) 17. [**Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies**Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, et al.*2019 · 54 citations*](https://md.research.elamur.ai/free/en/papers/bawden-2019-findings-wmt-2019-biomedical-translation/) 18. [**Findings of the WMT 2020 Shared Task on Chat Translation**M. Amin Farajian, António V. Lopes, André F. T. Martins, et al.*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2020-findings-wmt-2020-shared-task/) 19. [**An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)**Laurie Burchell, Ona de Gibert, Nikolay Arefyev, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/burchell-2025-expanded-massive-multilingual-dataset-high/) 20. [**The First Shared Task on Discourse Representation Structure Parsing**Lasha Abzianidze, Rik van Noord, Hessel Haagsma, et al.*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2019-first-shared-task-discourse-representation/) 21. [**CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in Welsh**Eeshan Waqar, Jonathan Davies, Dawn Knight, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/waqar-2026-cefr-cymraeg-dataset-baseline-models/) 22. [**HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models**Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/oepen-2026-hplt-3-0-very-large/) 23. [**Benchmarking Arabic — Russian Machine Translation: A Comparison of Fine-tuned NMT and Few-shot LLMs under Rich Morphology and Low Lexical Overlap**Mullosharaf K. Arabov*2026*](https://md.research.elamur.ai/free/en/papers/arabov-2026-benchmarking-arabic-russian-machine-translation/) 24. [**DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation**Vyacheslav Tyurin*2026*](https://md.research.elamur.ai/free/en/papers/tyurin-2026-devlake-loresmt-2026-impact-pre/) 25. [**EmoAra: Emotion-Preserving English Speech Transcription and Cross-Lingual Translation with Arabic Text-to-Speech**Besher Hassan, Ibrahim Alsarraj, Musaab Hasan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hassan-2026-emoara-emotion-preserving-english-speech/) 26. [**FormosanMT: A Multilingual Parallel Corpus of the Formosan Language Family**Hunter Scheppat, Joshua K. Hartshorne, Sema Koc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scheppat-2026-formosanmt-multilingual-parallel-corpus-formosan/) 27. [**Judging Instruction Responses in a Low-Resource Language: A Case Study on Basque**David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ponce-2026-judging-instruction-responses-low-resource/) 28. [**Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/) 394 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/junczys-dowmunt-2018-marian-fast-neural-machine-translation/) — Marian: Fast Neural Machine Translation in C++