测试诗行最后严格的稳健性

IF 0.4 0 LANGUAGE & LINGUISTICS Studia Metrica et Poetica Pub Date : 2019-01-28 DOI:10.12697/smp.2018.5.2.03
V. deCastro-Arrazola
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引用次数: 2

摘要

在韵律学领域,人们长期以来一直观察到诗歌的线条趋向于更加规则或限制到末尾(Arnold 1905)。这导致了严格终点假说[SEH],它提出了普遍范围的一般版本原则(Hayes 1983)。本文认为,两个主要的挑战阻碍了在一个广泛的不相关的诗歌语料库类型样本中证实SEH。首先,严格性的概念过于粗糙,需要缩小到可测试的特性或子组件。其次,需要制定明确的措施,以便对语料库进行系统的比较,特别是在试图捕捉潜在的梯度特征时,例如对度量模板的相对忠实度。本研究通过分析五种语言(英语、荷兰语、梵语、爱沙尼亚语、柏柏尔语)语料库中不同位置的熵,展示了如何克服这些问题。最后,我认为,如果SEH在类型学上被证明是强大的,那么人类共有的认知特征可能为这种令人费解的诗歌线条不对称提供部分解释。
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Testing the robustness of final strictness in verse lines
In the field of metrics, it has long been observed that verse lines tend to be more regular or restricted towards the end (Arnold 1905). This has led to the Strict End Hypothesis [SEH], which proposes a general versification principle of universal scope (Hayes 1983). This paper argues that two main challenges hinder the substantiation of the SEH in a broad typological sample of unrelated verse corpora. First, the concept of strictness is too coarse and needs to be narrowed down to testable features or subcomponents. Second, explicit measures need to be developed which enable the systematic comparison of corpora, particularly when trying to capture potentially gradient features such as the relative faithfulness to a metrical template. This study showcases how to overcome these issues by analysing the entropy at different positions in the line for corpora in five languages (English, Dutch, Sanskrit, Estonian, Berber). Finally, I argue that, if the SEH is shown to be typologically robust, shared human cognitive features may provide a partial explanation for this puzzling asymmetry in verse lines.
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来源期刊
Studia Metrica et Poetica
Studia Metrica et Poetica LANGUAGE & LINGUISTICS-
CiteScore
0.60
自引率
16.70%
发文量
6
审稿时长
16 weeks
期刊最新文献
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