Conference Topics

2025 International Conference on Natural Language Processing and Signal Processing(NLPSP 2025) will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The topics of interest for submission include, but are not limited to:

    Machine Learning for NLP

  • Graph-based methods
  • Knowledge-augmented methods
  • Multi-task learning
  • Self-supervised learning
  • Contrastive learning
  • Generation model
  • Data augmentation
  • Word embedding
  • Structured prediction
  • Transfer learning / domain adaptation
  • Representation learning
  • Generalization
  • Model compression methods
  • Parameter-efficient finetuning
  • Few-shot learning
  • Reinforcement learning
  • Optimization methods
  • Continual learning
  • Adversarial training
  • Meta learning
  • Causality
  • Graphical models
  • Human-in-a-loop / Active learning

    Machine Translation

  • Automatic evaluation
  • Biases
  • Domain adaptation
  • Efficient inference for MT
  • Efficient MT training
  • Few-/Zero-shot MT
  • Human evaluation
  • Interactive MT
  • MT deployment and maintainence
  • MT theory
  • Modeling
  • Multilingual MT
  • Multimodality
  • Online adaptation for MT
  • Parallel decoding/non-autoregressive MT
  • Pre-training for MT
  • Scaling
  • Speech translation
  • Code-switching translation
  • Vocabulary learning

    Language Generation

  • Human evaluation
  • Automatic evaluation
  • Multilingualism
  • Efficient models
  • Few-shot generation
  • Analysis
  • Domain adaptation
  • Data-to-text generation
  • Text-to-text generation
  • Inference methods
  • Model architectures
  • Retrieval-augmented generation
  • Interactive and collaborative generation