Prevalence and Recoverability of Syntactic Parameters in Sparse Distributed Memories
Prevalence and Recoverability of Syntactic Parameters in Sparse Distributed Memories
复制标题
稀疏分布式存储器中句法参数的普遍性和可恢复性
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
M. Marcolli
中科院分区：
文献类型：
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作者：
Jeong;Ronnel Boettcher;Andrew Zhao;Alexander H. Mun;Kevin Yuh;Vibhor Kumar;M. Marcolli
针对句法原理和参数模型中不同句法参数之间的依存关系，提出了一种基于稀疏分布式记忆(Kanerva Networks)的新方法。我们将世界语言的句法参数数据存储在Kanerva网络中，并检查从网络中损坏的参数数据的可恢复性。我们发现，不同的句法参数具有不同程度的可恢复性。我们确定了两种不同的影响：一种是跨语言参数的流行率与它们的可恢复性程度之间的总体潜在关系，另一种是更精细的影响，它使一些参数更容易恢复，而不是它们的流行率所表明的。我们将句法参数的较高可恢复性解释为存在依赖关系，通过这种依赖关系，可以使用剩余的未被破坏的数据来确定给定的参数。
We propose a new method, based on Sparse Distributed Memory (Kanerva Networks), for studying dependency relations between different syntactic parameters in the Principles and Parameters model of Syntax. We store data of syntactic parameters of world languages in a Kanerva Network and we check the recoverability of corrupted parameter data from the network. We find that different syntactic parameters have different degrees of recoverability. We identify two different effects: an overall underlying relation between the prevalence of parameters across languages and their degree of recoverability, and a finer effect that makes some parameters more easily recoverable beyond what their prevalence would indicate. We interpret a higher recoverability for a syntactic parameter as an indication of the existence of a dependency relation, through which the given parameter can be determined using the remaining uncorrupted data.
语法的持久拓扑
影响因子：
0.8
作者：
Port, Alexander;Gheorghita, Iulia;Guth, Daniel;Clark, John M.;Liang, Crystal;Dasu, Shival;Marcolli, Matilde
通讯作者：
Marcolli, Matilde