I've developed a neuro-inspired language acquisition system that:

  • Mimics child language learning
  • Uses a tiny transformer architecture (4-layer, 256-dim)
  • Trained on child-directed speech from the CHILDES corpus
  • Features a web application with:
  • Safari auto-launch functionality
  • Real-time training monitoring
  • Interactive model evaluation
  • Cognitive tests like Wug Test and word segmentation
  • API-driven interface for researchers

Next Engineering Steps

  • Implement biological enhancement phase
  • Add sparsity constraints via L1 regularization
  • Integrate spiking neural dynamics
  • Develop hierarchical attention mechanisms
  • Expand evaluation framework
  • Introduce curiosity-driven learning
  • Establish production deployment pipeline

Future Vision

  • Add multi-modal inputs (audio/visual)
  • Develop real-time dialogue interface to demonstrate interactive language learning capabilities