mlsanityData to 14 Oct 2026

OpenNMT: Neural Machine Translation Toolkit

arXiv 1805.11462 ↗First posted 28 May 2018cs.CLcited by 27

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Abstract (arXiv)

OpenNMT is an open-source toolkit for neural machine translation (NMT). The system prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research into model architectures, feature representations, and source modalities, while maintaining competitive performance and reasonable training requirements. The toolkit consists of modeling and translation support, as well as detailed pedagogical documentation about the underlying techniques. OpenNMT has been used in several production MT systems, modified for numerous research papers, and is implemented across several deep learning frameworks.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 May 2018.

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Citing papers per year: 2021: 12; 2022: 7; 2023: 0; 2024: 3; 2025: 5.

27 papers.

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  1. 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 109
  2. 2021Incorporating Residual and Normalization Layers into Analysis of Masked Language Modelscited by 51
  3. 2021Evaluating Gender Bias in Hindi-English Machine Translationcited by 19
  4. 2021CASS: Towards Building a Social-Support Chatbot for Online Health Communitycited by 8
  5. 2025Whisper Has an Internal Word Alignercited by 7
  6. 2021Congolese Swahili Machine Translation for Humanitarian Responsecited by 5
  7. 2021Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Modelscited by 5
  8. 2021Central Kurdish machine translation: First large scale parallel corpus and experimentscited by 4
  9. 2024Accelerating the inference of string generation-based chemical reaction models for industrial applicationscited by 4
  10. 2024BenTo: Benchmark Task Reduction with In-Context Transferabilitycited by 4
  11. 2021Understanding the Impact of UGC Specificities on Translation Qualitycited by 3
  12. 2022TextBox 2.0: A Text Generation Library with Pre-trained Language Modelscited by 3
15 more
  1. 2021Translating synthetic natural language to database queries: a polyglot deep learning frameworkcited by 2
  2. 2022Small Batch Sizes Improve Training of Low-Resource Neural MTcited by 2
  3. 2022PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directionscited by 2
  4. 2022Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translationcited by 2
  5. 2025Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creolecited by 2
  6. 2021Do RNN States Encode Abstract Phonological Processes?cited by 1
  7. 2022Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanishcited by 1
  8. 2022KATSum: Knowledge-aware Abstractive Text Summarizationcited by 1
  9. 2025Previously on... Automating Code Reviewcited by 1
  10. 2021An Exploratory Study on Utilising the Web of Linked Data for Product Data Miningcited by 0
  11. 2021ViNMT: Neural Machine Translation Toolkitcited by 0
  12. 2022Can the Language of the Collation be Translated into the Language of the Stemma? Using Machine Translation for Witness Localizationcited by 0
  13. 2024FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpuscited by 0
  14. 2025Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluationcited by 0
  15. 2025Template-Free Retrosynthesis with Graph-Prior Augmented Transformerscited by 0