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Visualizing Non-subordination and Multidominance in Tree Diagrams: Testing Five Syntax Tree Variants

机译:在树图中可视化非从属和多支配:测试五个语法树变体

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In linguistics, it is quite common to use tree diagrams for immediate constituent analysis of sentences. Traditionally, these trees are binary and two-dimensional. However, phenomena such as coordination and right node raising, have led to the view that a simple hierarchical approach of sentences is inadequate: some linguistic phenomena rather seem to involve non-subordination and multiple dependencies. The central question of the present research is this: what are workable alternative tree-like diagrams that can accommodate to this view? An experiment has been set up to test five different types of tree visualizations, including three-dimensional trees. Subjects were asked to respond to various questions concerning coordination and (non-constituent) right node raising constructions, and to mark their preference for each tree visualization. This paper will discuss the representation problems, and present the experiment and its results. It turned out that the tree most rich in information was the least usable one, whereas the tree, most close to the traditional syntax tree, but with colour enrichment, performed best.
机译:在语言学中,使用树形图进行句子的立即成分分析是很普遍的。传统上,这些树是二进制的和二维的。但是,诸如协调和右节点抬起之类的现象已导致一种观点,即简单的句子分层方法是不够的:某些语言现象似乎涉及非从属和多重依存关系。当前研究的中心问题是:什么是可以适应这种视图的可行的树状图?已经建立了一个实验来测试五种不同类型的树可视化,包括三维树。要求受试者回答有关协调和(非组成部分)右节点举高构造的各种问题,并标记他们对每棵树可视化的偏好。本文将讨论表示问题,并介绍实验及其结果。事实证明,信息最丰富的树是最不可用的树,而最接近传统语法树但具有颜色丰富度的树表现最佳。

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