内存限制隐藏在语法中

IF 0.2 Q4 LINGUISTICS
Glottometrics Pub Date : 2019-08-19 DOI:10.53482/2022_52_397
Carlos Gómez-Rodríguez, Morten H. Christiansen, R. Ferrer-i-Cancho
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引用次数: 12

摘要

创造和理解无限数量不同句子的能力是人类语言的一个标志。语言学家试图用形式语法来定义这种生成能力的本质,这种语法描述了成分之间的句法依赖关系,不受人脑计算能力的限制。在这里,我们通过从可能的句法结构空间中统一采样句子来评估这种独立性假设。我们发现,在最先进的依赖语法类集合中,语法相关单词之间的平均依赖距离(内存限制的代理)比偶然期望的要小。我们的研究结果表明,记忆限制已经渗透到语法描述中,这表明可能不可能建立一个独立于非语言认知约束的人类语言生产力的简约理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory limitations are hidden in grammar
The ability to produce and understand an unlimited number of different sentences is a hallmark of human language. Linguists have sought to define the essence of this generative capacity using formal grammars that describe the syntactic dependencies between constituents, independent of the computational limitations of the human brain. Here, we evaluate this independence assumption by sampling sentences uniformly from the space of possible syntactic structures. We find that the average dependency distance between syntactically related words, a proxy for memory limitations, is less than expected by chance in a collection of state-of-the-art classes of dependency grammars. Our findings indicate that memory limitations have permeated grammatical descriptions, suggesting that it may be impossible to build a parsimonious theory of human linguistic productivity independent of non-linguistic cognitive constraints.
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来源期刊
Glottometrics
Glottometrics LINGUISTICS-
CiteScore
0.50
自引率
0.00%
发文量
0
期刊介绍: The aim of Glottometrics is quantification, measurement and mathematical modeling of any kind of language phenomena. We invite contributions on probabilistic or other mathematical models (e.g. graph theoretic or optimization approaches) which enable to establish language laws that can be validated by testing statistical hypotheses.
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