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Exploring diachronic syntactic shifts with dependency length: the case of scientific English

机译:探索依赖长度的历时句法变化:科学英语的案例

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We report on an application of universal dependencies for the study of diachronic shifts in syntactic usage patterns. Our focus is on the evolution of Scientific English in the Late Modern English period (ca. 1700-1900). Our data set is the Royal Society Corpus (RSC), comprising the full set of publications of the Royal Society of London between 1665 and 1996. Our starting assumption is that over time. Scientific English develops specific syntactic choice preferences that increase efficiency in (expert-to-expert) communication. The specific hypothesis we pursue in this paper is that changing syntactic choice preferences lead to greater dependency locality/dependency length minimization, which is associated with positive effects for the efficiency of human as well as computational linguistic processing. As a basis for our measurements, we parsed the RSC using Stanford CoreNLP. Overall, we observe a decrease in dependency length, with long dependency structures becoming less frequent and short dependency structures becoming more frequent over time, thus marking an overall push towards greater communicative efficiency.
机译:我们报告了综合使用模式中探讨了探讨了探讨的普遍依赖性。我们的重点是在近期现代英语期间的科学英语演变(CA.1700-1900)。我们的数据套装是皇家社会(RSC),包括伦敦皇家学会的全套出版物于1665年至1996年。我们的起始假设随着时间的推移。科学英语开发了提高(专家到专家)沟通效率的特定句法选择偏好。我们本文追求的具体假设是改变句法选择偏好导致更大的依赖性地点/依赖长度最小化,这与对人类效率的积极影响以及计算语言处理相关联。作为我们的测量的基础,我们使用斯坦福科伦加尔人解析了RSC。总的来说,我们观察依赖长度的减少,长依赖性结构变得越来越频繁,短依赖性结构随着时间的推移更频繁地变得更频繁,因此标志着更大的通信效率。

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