John Gamboa, Kristina Braun, Juhani Järvikivi, Shanley E. M. Allen
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引用次数: 0
摘要
名词性化合物是科学文章中常用的一种结构。尽管它们很常见,但人们对它们在科学文章中的分布却知之甚少。根据 "均匀信息密度假说"(Uniform Information Density hypothesis),即说话者以恒定的速度传递信息,避免信息传递的高峰和低谷,我们预测名词性复词应集中在科技文章的末尾,在其前面有有助于理解的辅助文字,并在首次使用后经常重复出现。在本文中,我们通过对生物学、经济学和语言学领域的科学论文语料库进行定量和定性分析,对上述预测进行了研究。虽然我们的调查没有为上述第一和第三项预测揭示明确的结论,但却为第二项预测提供了支持性证据,从而推进了我们对数控系统使用和说话者在传递信息时所作选择的理解。
The distributional properties of long nominal compounds in scientific articles: an investigation based on the uniform information density hypothesis
Nominal compounds are a structure commonly used in scientific texts. Despite their commonality, very little is known about how they are distributed in scientific articles. Based on the Uniform Information Density hypothesis, which states that speakers communicate information at a constant rate, avoiding peaks and troughs of information transmission, we predict that nominal compounds should cluster toward the end of scientific texts, be preceded by supporting text that facilitates their understanding, and be repeated often after their first use. In this paper, we examine these predictions through a quantitative and a qualitative analysis of a corpus of scientific papers from the fields of Biology, Economics and Linguistics. While our investigation did not reveal definitive findings for the first and third predictions above, it did produce supporting evidence in favor of our second prediction, thus advancing our understanding of NC use and the choices speakers make when transmitting information.
期刊介绍:
Corpus Linguistics and Linguistic Theory (CLLT) is a peer-reviewed journal publishing high-quality original corpus-based research focusing on theoretically relevant issues in all core areas of linguistic research, or other recognized topic areas. It provides a forum for researchers from different theoretical backgrounds and different areas of interest that share a commitment to the systematic and exhaustive analysis of naturally occurring language. Contributions from all theoretical frameworks are welcome but they should be addressed at a general audience and thus be explicit about their assumptions and discovery procedures and provide sufficient theoretical background to be accessible to researchers from different frameworks. Topics Corpus Linguistics Quantitative Linguistics Phonology Morphology Semantics Syntax Pragmatics.