mlsanityData to 7 Oct 2026

A Survey of Deep Learning Techniques for Neural Machine Translation

arXiv 2002.07526 ↗First posted 18 Feb 2020cs.CLcited by 50

Not on the map. Why?

Abstract (arXiv)

In recent years, natural language processing (NLP) has got great development with deep learning techniques. In the sub-field of machine translation, a new approach named Neural Machine Translation (NMT) has emerged and got massive attention from both academia and industry. However, with a significant number of researches proposed in the past several years, there is little work in investigating the development process of this new technology trend. This literature survey traces back the origin and principal development timeline of NMT, investigates the important branches, categorizes different research orientations, and discusses some future research trends in this field.

Key facts. Cited by 50 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Feb 2020.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 8; 2022: 11; 2023: 17; 2024: 12; 2025: 2.

50 papers.

Sort:

By area:

  1. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  2. 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 108
  3. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  4. 2023β-Variational autoencoders and transformers for reduced-order modelling of fluid flowscited by 76
  5. 2023Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generationcited by 56
  6. 2023How to Design Translation Prompts for ChatGPT: An Empirical Studycited by 31
  7. 2021Core Challenges in Embodied Vision-Language Planningcited by 30
  8. 2022A Survey on Neural Open Information Extraction: Current Status and Future Directionscited by 27
  9. 2025Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learningcited by 27
  10. 2022Vision Transformers for Action Recognition: A Surveycited by 25
  11. 2022A Survey of Adversarial Defences and Robustness in NLPcited by 22
  12. 2023Rationalization for Explainable NLP: A Surveycited by 22
38 more
  1. 2022WeLM: A Well-Read Pre-trained Language Model for Chinesecited by 19
  2. 2023A Paradigm Shift: The Future of Machine Translation Lies with Large Language Modelscited by 19
  3. 2022Recent Advances in Neural Text Generation: A Task-Agnostic Surveycited by 14
  4. 2024Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solutioncited by 13
  5. 2021A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundationscited by 11
  6. 2021Model-Based Machine Learning for Communicationscited by 7
  7. 2024Towards Automatic Composition of ASP Programs from Natural Language Specificationscited by 7
  8. 2021Zero-Shot Controlled Generation with Encoder-Decoder Transformerscited by 5
  9. 2022The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translationcited by 5
  10. 2023Recent advances in artificial intelligence for retrosynthesiscited by 5
  11. 2023Challenges in Context-Aware Neural Machine Translationcited by 5
  12. 2023Text Analysis Using Deep Neural Networks in Digital Humanities and Information Sciencecited by 5
  13. 2023Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Correctorcited by 4
  14. 2024GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Modelscited by 4
  15. 2024What talking you?: Translating Code-Mixed Messaging Texts to Englishcited by 4
  16. 2022Answer Fast: Accelerating BERT on the Tensor Streaming Processorcited by 3
  17. 2024Assessing the Latent Automated Program Repair Capabilities of Large Language Models using Round-Trip Translationcited by 3
  18. 2021Literature review on vulnerability detection using NLP technologycited by 2
  19. 2021PSG: Prompt-based Sequence Generation for Acronym Extractioncited by 2
  20. 2022Silo NLP's Participation at WAT2022cited by 2
  21. 2022Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Modelscited by 2
  22. 2022Neural Regression For Scale-Varying Targetscited by 2
  23. 2023Sample Attackability in Natural Language Adversarial Attackscited by 2
  24. 2024AntEval: Evaluation of Social Interaction Competencies in LLM-Driven Agentscited by 2
  25. 2024adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translationcited by 2
  26. 2024Artificial intelligence contribution to translation industry: looking back and forwardcited by 2
  27. 2021Deep Learning with Kernel Flow Regularization for Time Series Forecastingcited by 1
  28. 2023Domain Adaptation for Arabic Machine Translation: The Case of Financial Textscited by 1
  29. 2024Gradable ChatGPT Translation Evaluationcited by 1
  30. 2024The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relationscited by 1
  31. 2024Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioningcited by 1
  32. 2022Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Imagescited by 0
  33. 2023Interaction Order Prediction for Temporal Graphscited by 0
  34. 2023Core Challenges in Embodied Vision-Language Planningcited by 0
  35. 2023Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifierscited by 0
  36. 2023Hindi to English: Transformer-Based Neural Machine Translationcited by 0
  37. 2024ERUPD -- English to Roman Urdu Parallel Datasetcited by 0
  38. 2025Is the Frequency Principle always valid?cited by 0