Is prediction necessary to understand language? Probably not
Is prediction necessary to understand language? Probably not
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DOI：
10.1080/23273798.2015.1072223
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发表时间：
2016-01-02
影响因子：
2.3
通讯作者：
Mani, Nivedita
中科院分区：
文献类型：
--
作者：
Huettig, Falk;Mani, Nivedita
认知科学领域最近的一些理论表明，预测对于理解语言是必要的。我们在这里评估这个提议。我们考虑这样的论点：预测为人类思维提供了统一的理论原则，并且它遍及皮质功能。我们讨论人类检测统计规律的能力的证据是否是预测处理的必要证据，并评估预测对于语言学习是必要的建议。我们指出，并非所有语言用户都能预测语言，并且次优输入使得预测通常非常具有挑战性。此外，预测强烈依赖于上下文，并受到资源限制的阻碍。我们还认为，预测语言处理的大多数实验证据来自鼓励预测的实验设置，这可能是有问题的。我们的结论是，语言可以在没有预测的情况下学习和理解。声称所有语言处理本质上都是预测性的还为时过早。
Some recent theoretical accounts in the cognitive sciences suggest that prediction is necessary to understand language. Here we evaluate this proposal. We consider arguments that prediction provides a unified theoretical principle of the human mind and that it pervades cortical function. We discuss whether evidence of human abilities to detect statistical regularities is necessarily evidence for predictive processing and evaluate suggestions that prediction is necessary for language learning. We point out that not all language users appear to predict language and that suboptimal input makes prediction often very challenging. Prediction, moreover, is strongly context-dependent and impeded by resource limitations. We also argue that it may be problematic that most experimental evidence for predictive language processing comes from prediction-encouraging experimental set-ups. We conclude that languages can be learned and understood in the absence of prediction. Claims that all language processing is predictive in nature are premature.