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Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulations

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

Given various grammatical options, language users prefer the word order choice that reduces the overall length of syntactic dependencies, a principle known as dependency length minimization (DLM). The origins of this preference remain an open question, particularly whether it originates from constraints on efficient information processing. Computational simulations provide a powerful approach to identifying the factors influencing the emergence of linguistic phenomena. However, previous simulations of DLM have not examined realistic interaction contexts and have produced mixed results. The pre

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