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翻译过程的模型和自由能源原理
1Department of Modern and Classical Language Studies, Kent State University, Kent, OH 44240, USA.
Entropy (Basel, Switzerland)
|June 28, 2023
概括
这项研究通过整合相关性理论 (RT) 和自由能源原则 (FEP) 来扩展翻译过程研究 (TPR). 它将人类翻译模型作为最小化自由能量的过程,为翻译者行为提供了新的见解.
科学领域:
- 认知科学 认知科学
- 语言学的语言学.
- 计算神经科学是一种神经科学.
背景情况:
- 翻译过程研究 (TPR) 有许多解释人类翻译的模型.
- 现有的模型往往缺乏统一的理论框架,用于认知和务实的方面.
研究的目的:
- 通过将相关性理论 (RT) 和自由能源原则 (FEP) 纳入监控模型,扩展监控模型.
- 为阐明使用FEP和主动推理的翻译行为提供一个生成模型.
- 在统一的数学框架内正式化TPR,RT和监视器模型的关键概念.
主要方法:
- 采用自由能量原理 (FEP) 作为转化行为的生成模型.
- 分析基于翻译单位 (TU) 的行为数据,测量翻译努力和效果.
- 将FEP概念 (自由能量最小化,主动推理) 映射到翻译过程中.
- 将TU集成到翻译状态 (稳定状态,定向,犹) 和序列到政策中.
主要成果:
- 证明了自由能源最小化与RT相关性概念之间的兼容性.
- 展示了翻译状态的序列如何形成减少预期自由能量的政策.
- 正式化了监控模型和RT作为深度时间生成模型的基本概念.
结论:
- FEP提供了一个强大的数学框架,用于理解人类翻译是以目标为导向,寻求信息的行为.
- 这种综合方法为翻译的认知,务实和行为方面提供了统一的解释.
- 该模型支持对翻译过程的代表主义和非代表主义解释.
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