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April 19, 2026Open Access

The Language Funnel Hypothesis: A Unified Mechanistic Framework for Biological and Artificial Intelligence Acquisition

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Authors

NSNatalie Shannon

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Overview

This framework links language acquisition processes in humans and AI, enhancing learning efficacy and understanding of bilingualism.

Key Points

  • The research aims to create a unified framework for understanding second language acquisition and its parallels in artificial intelligence.
  • Introduced the Language Funnel Hypothesis as a conceptual framework.
  • Quantified L2 input as energy-like 'sand volume' influenced by various factors.
  • Developed equations to describe activation intensity and consolidation rates.
  • Proposed five testable predictions related to L1 interference and learning dynamics.
  • Demonstrated that high L1 dominance can lead to zero consolidation of L2.
  • Identified instability in signal as a factor affecting learning efficiency.
  • Outlined conditions for accelerated L2 consolidation under certain input weights.

Cite This Study

Natalie Shannon (2026) studied this question.

synapsesocial.com/papers/69e47250010ef96374d8e5bfhttps://doi.org/10.5281/zenodo.19624885
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