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相关概念视频

Mnemonic Devices01:23

Mnemonic Devices

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Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
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Language Development01:22

Language Development

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Radical Chain-Growth Polymerization: Overview01:10

Radical Chain-Growth Polymerization: Overview

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Chain-growth or addition polymerization is successive addition reactions of monomers with a polymer chain. In radical chain-growth polymerization, the reaction proceeds via a free-radical intermediate. The free radical is formed from radical initiators, which spontaneously generate free radicals by homolytic fission. Organic peroxides (such as dibenzoyl peroxide, as shown in Figure 1) or azo compounds are popular radical initiators. A low concentration ratio of radical initiator to monomer is...
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Radical Chain-Growth Polymerization: Chain Branching01:17

Radical Chain-Growth Polymerization: Chain Branching

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The skeletal structure of polymers synthesized via radical polymerization is always branched. For example, the polymerization of ethylene by radical polymerization results in a low-density grade of polyethylene with a heavily branched skeletal structure. Here, the radical site abstracts hydrogen from the growing chain, and the radical site shifts from the end (a primary carbon center) to anywhere within the growing chain (a secondary carbon center). Consequently, the part of the chain from the...
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Per-Unit Sequence Models01:26

Per-Unit Sequence Models

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An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
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相关实验视频

Updated: Jun 30, 2025

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
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递归数字系统优化了词典大小和平均形态语法复杂度之间的权衡.

Milica Denić1, Jakub Szymanik2

  • 1Department of Linguistics, Tel Aviv University.

Cognitive science
|March 18, 2024
PubMed
概括

语言平衡了简单性和精确性,通过将词汇大小与形态语法复杂性进行交易,特别是在自然数等领域. 这项研究揭示了塑造语言词典的三个关键压力,以实现最佳的沟通效率.

科学领域:

  • 语言类型学的语言类型学.
  • 计算语言学计算语言学
  • 语言的演变语言的演变

背景情况:

  • 人类语言在词汇化方面表现出差异,受制于对简单性 (词典大小) 和信息性 (精度) 的竞争压力.
  • 在一些语义领域,由于生产性形态语法和构成语义,高信息性是通过很少的词汇化含义实现的.
  • 自然数的语义领域就是一个例子,语言使用复杂的数字来传达精确的含义,尽管词典很小.

研究的目的:

  • 调查解释语义化模式的因素在语义领域的高信息性和低语义化,如自然数.
  • 提出和测试一个涉及词典大小和数字系统中的形态语法复杂性的权衡模型.
  • 确定塑造语言词典的关键压力,以提高沟通效率.

主要方法:

  • 在128种自然语言中分析数字系统.
  • 计算建模以评估词典大小和平均形态语法复杂度之间的权衡.
  • 与关于沟通效率和语言结构的现有理论进行比较.

主要成果:

  • 数字系统在最小化词典大小和最小化平均形态语法复杂性之间展示了近乎最佳的权衡.
  • 词典大小在具有生产性形态表达的领域中与信息性没有直接竞争.
  • 语言平衡压力以尽量减少词汇大小的压力,以尽量减少发言形态语法复杂性的压力.
关键词:
平均形态语法复杂度 平均形态语法复杂度信息性 信息性的一个数字的数量数量.数字是指数字中的数字.一个简单的简单性.这是一个权衡的权衡.

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结论:

  • 语言词典是由三个压力之间的权衡所塑造的:简单性,信息性和最小化平均形态语法复杂性.
  • 这些发现挑战了在特定的语义领域中对语言变异的传统双压力模型.
  • 这项研究为语言结构的多面优化过程提供了计算证据.