mlsanityData to 14 Oct 2026

Marian: Cost-effective High-Quality Neural Machine Translation in C++

arXiv 1805.12096 ↗First posted 30 May 2018cs.CLcited by 22

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Abstract (arXiv)

This paper describes the submissions of the "Marian" team to the WNMT 2018 shared task. We investigate combinations of teacher-student training, low-precision matrix products, auto-tuning and other methods to optimize the Transformer model on GPU and CPU. By further integrating these methods with the new averaging attention networks, a recently introduced faster Transformer variant, we create a number of high-quality, high-performance models on the GPU and CPU, dominating the Pareto frontier for this shared task.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 May 2018.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 5; 2024: 2; 2025: 2; 2026: 1.

22 papers.

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  1. 2021Understanding and Overcoming the Challenges of Efficient Transformer Quantizationcited by 141
  2. 2024Outlier-Efficient Hopfield Layers for Large Transformer-Based Modelscited by 38
  3. 2023Escaping the sentence-level paradigm in machine translationcited by 27
  4. 2022Neural Approaches to Multilingual Information Retrievalcited by 18
  5. 2021Modelling Latent Translations for Cross-Lingual Transfercited by 16
  6. 2025Scaling Low-Resource MT via Synthetic Data Generation with LLMscited by 14
  7. 2023Translation-Enhanced Multilingual Text-to-Image Generationcited by 9
  8. 2021Few-shot learning through contextual data augmentationcited by 8
  9. 2023Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learningcited by 8
  10. 2022Non-Autoregressive Neural Machine Translation: A Call for Claritycited by 5
  11. 2022Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Modelscited by 5
  12. 2021The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translationcited by 4
10 more
  1. 2022The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translationcited by 3
  2. 2022Sockeye 3: Fast Neural Machine Translation with PyTorchcited by 3
  3. 2023SOTASTREAM: A Streaming Approach to Machine Translation Trainingcited by 3
  4. 2022Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Modelscited by 2
  5. 2024PyMarian: Fast Neural Machine Translation and Evaluation in Pythoncited by 2
  6. 2023Reducing Gender Bias in Machine Translation through Counterfactual Data Generationcited by 1
  7. 2026Every Bit Counts: A Theoretical Study of Precision-Expressivity Tradeoffs in Quantized Transformerscited by 1
  8. 2021Leveraging Neural Machine Translation for Word Alignmentcited by 0
  9. 2021Grammatical Error Generation Based on Translated Fragmentscited by 0
  10. 2025MoVoC: Morphology-Aware Subword Construction for Geez Script Languagescited by 0