保持简单：语言科学中适应和学习的原原则的实施和表现
Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences
摘要：
在本文中，我们介绍了Widrow-Hoff规则及其应用程序的语言数据。在将规则历史地置于上下文并将其置于神经启发的人工学习模型链中之后，我们解释了其原理和实现考虑。使用一些案例研究，我们说明了如何Widrow-Hoff规则提供了意想不到的机会，计算模拟的一系列语言现象，使人们有可能从一个新的角度来处理老问题。
英文摘要：
In this paper we present the Widrow-Hoff rule and its applications to language data. After contextualizing the rule historically and placing it in the chain of neurally inspired artificial learning models, we explain its rationale and implementational considerations. Using a number of case studies we illustrate how the Widrow-Hoff rule offers unexpected opportunities for the computational simulation of a range of language phenomena that make it possible to approach old problems from a novel perspective.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
