Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulations
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 present study investigates the emergence of DLM in artificial languages using a recently proposed la...
| Authors | Yuqing Zhang, Tessa Verhoef, Gertjan van Noord et al. |
|---|---|
| Primary category | cs.CL |
| Published | 5 September 2026 |
| Last updated at source | 16 September 2026 |
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