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Marian: Fast Neural Machine Translation in C++

arXiv 1804.00344 ↗First posted 1 Apr 2018cs.CLcited by 202

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Abstract (arXiv)

We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++. We describe the design of the encoder-decoder framework and demonstrate that a research-friendly toolkit can achieve high training and translation speed.

Key facts. Cited by 202 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Apr 2018.

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Citing papers per year: 2021: 44; 2022: 50; 2023: 44; 2024: 33; 2025: 20; 2026: 11.

202 papers.

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  1. 2021Editing Factual Knowledge in Language Modelscited by 548
  2. 2021FUDGE: Controlled Text Generation With Future Discriminatorscited by 374
  3. 2023AlignScore: Evaluating Factual Consistency with a Unified Alignment Functioncited by 284
  4. 2021NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristicscited by 153
  5. 2021mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Datasetcited by 116
  6. 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 108
  7. 2021Survey of Low-Resource Machine Translationcited by 92
  8. 2022Interpreting Language Models with Contrastive Explanationscited by 91
  9. 2023Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queriescited by 82
  10. 2021Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Paperscited by 70
  11. 2021Controlled Text Generation as Continuous Optimization with Multiple Constraintscited by 70
  12. 2021Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasurescited by 69
38 more
  1. 2021Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoningcited by 64
  2. 2022Gradient-Based Constrained Sampling from Language Modelscited by 64
  3. 2022Democratizing Neural Machine Translation with OPUS-MTcited by 57
  4. 2024A New Massive Multilingual Dataset for High-Performance Language Technologiescited by 56
  5. 2021Knowing More About Questions Can Help: Improving Calibration in Question Answeringcited by 47
  6. 2021One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrievalcited by 46
  7. 2022Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMETcited by 41
  8. 2022Controllable Text Generation with Neurally-Decomposed Oraclecited by 41
  9. 2022Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learningcited by 36
  10. 2021Many-to-English Machine Translation Tools, Data, and Pretrained Modelscited by 31
  11. 2023Efficient Post-training Quantization with FP8 Formatscited by 29
  12. 2022Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translationcited by 28
  13. 2023Escaping the sentence-level paradigm in machine translationcited by 27
  14. 2021NoiseQA: Challenge Set Evaluation for User-Centric Question Answeringcited by 25
  15. 2021IndoNLI: A Natural Language Inference Dataset for Indonesiancited by 24
  16. 2022Cross-Lingual Dialogue Dataset Creation via Outline-Based Generationcited by 23
  17. 2021Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLPcited by 21
  18. 2022Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settingscited by 21
  19. 2023A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translationcited by 19
  20. 2023GATE: A Challenge Set for Gender-Ambiguous Translation Examplescited by 18
  21. 2021Pretrained Language Models are Symbolic Mathematics Solvers too!cited by 17
  22. 2022RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Questioncited by 17
  23. 2021TextBox: A Unified, Modularized, and Extensible Framework for Text Generationcited by 15
  24. 2021On the Evaluation of Machine Translation for Terminology Consistencycited by 15
  25. 2023Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillationcited by 15
  26. 2024Encryption-Friendly LLM Architecturecited by 15
  27. 2025An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)cited by 15
  28. 2022Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practicecited by 14
  29. 2022Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotationscited by 14
  30. 2022MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languagescited by 13
  31. 2024Lexically Grounded Subword Segmentationcited by 13
  32. 2022Finding Memo: Extractive Memorization in Constrained Sequence Generation Taskscited by 12
  33. 2023TransFool: An Adversarial Attack against Neural Machine Translation Modelscited by 12
  34. 2024ZipNN: Lossless Compression for AI Modelscited by 12
  35. 2024Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translationcited by 12
  36. 2022Non-Autoregressive Machine Translation: It's Not as Fast as it Seemscited by 11
  37. 2021Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twittercited by 10
  38. 2021Lost in Interpreting: Speech Translation from Source or Interpreter?cited by 10

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