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A Preliminary Study of Statistically Predictive Syntactic Complexity Features and Manual Simplifications in Basque

机译:巴斯克语中统计预测句法复杂性特征和人工简化的初步研究

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摘要

In this paper, we present a comparative analysis of statistically predictive syntactic features of complexity and the treatment of these features by humans when simplifying texts. To that end, we have used a list of the most five statistically predictive features obtained automatically and the Corpus of Basque Simplified Texts (CBST) to analyse how the syntactic phenomena in these features have been manually simplified. Our aim is to go beyond the descriptions of operations found in the corpus and relate the multidisciplinary findings to understand text complexity from different points of view. We also present some issues that can be important when analysing linguistic complexity.
机译:在本文中,我们提供了对复杂性的统计预测句法特征的比较分析,以及在简化文本时人类对这些特征的处理。为此,我们使用了自动获取的最新五个统计预测功能列表以及巴斯克简化文本语料库(CBST),来分析如何手动简化这些功能中的句法现象。我们的目标是超越对语料库中的操作的描述,并将多学科的发现联系起来,以从不同的角度理解文本的复杂性。我们还提出了一些在分析语言复杂性时可能很重要的问题。

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