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arXiv 1302.3892physics.soc-phcond-mat.dis-nncs.CLq-bio.PE
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确定词频动态的趋势

Identifying trends in word frequency dynamics

Max Planck Institute for the Physics of Complex Systems(马克斯·普朗克复杂系统物理研究所);Northwestern University(西北大学)

Eduardo G. Altmann, Zakary L. Whichard, Adilson E. Motter

摘要:

语言的词汇库是一个复杂的动态系统,在这个系统中,词汇可以被创造、进化和消亡。更有活力的是人口中个体使用词汇的短期波动。最近的实验表明,词位是未来词频上升或下降的一个强有力的决定因素,在这里,我们引入了一个模型,使我们能够区分持久的临时增加的频率。我们的模型使用来自在线讨论组的10^8个单词的数据库和10^11个单词的数字化书籍集合来说明。该模型揭示了一个很强的关系,在词的传播和频率的变化变化之间的变化。除了它们对短期词频动态的影响外,这些观察结果对语言进化具有潜在的重要性,因为新词必须在短期内生存才能长期生存。

英文摘要:

The word-stock of a language is a complex dynamical system in which words can be created, evolve, and become extinct. Even more dynamic are the short-term fluctuations in word usage by individuals in a population. Building on the recent demonstration that word niche is a strong determinant of future rise or fall in word frequency, here we introduce a model that allows us to distinguish persistent from temporary increases in frequency. Our model is illustrated using a 10^8-word database from an online discussion group and a 10^11-word collection of digitized books. The model reveals a strong relation between changes in word dissemination and changes in frequency. Aside from their implications for short-term word frequency dynamics, these observations are potentially important for language evolution as new words must survive in the short term in order to survive in the long term.

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。

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