Syntactic composition and selectional preferences in Hindi Light Verb Constructions

Ashwini Vaidya, Owen Rambow, Martha Palmer
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引用次数: 5

Abstract

Previous work on light verb constructions (e.g. chorii kar ‘theft do; steal’) in Hindi describes their syntactic formation via co-predication (Ahmed et al., 2012, Butt, 2014). This implies that both noun and light verb contribute their arguments, and these overlapping argument structures must be composed in the syntax. In this paper, we present a co-predication analysis using Tree-Adjoining Grammar, which models syntactic composition and semantic selectional preferences without transformations (deletion or argument identification). The analysis has two key components (i) an underspecified category for the nominal and (ii) combinatorial constraints on the noun and light verb to specify selectional preferences. The former has the advantage of syntactic composition without argument identification and the latter prevents over-generalization, while recognizing the semantic contribution of both predicates. This work additionally accounts for the agreement facts for the Hindi LVC.
印地语轻动词结构的句法构成和选择偏好
以前对轻动词结构的研究(如chorii kar ' theft do;印地语中的“steal”)通过共同预测描述了它们的句法结构(Ahmed et al., 2012; Butt, 2014)。这意味着名词和轻动词都提供了它们的论点,这些重叠的论点结构必须在句法中组成。在本文中,我们提出了一种使用树相邻语法的共预测分析,它在没有转换(删除或参数识别)的情况下对句法组成和语义选择偏好进行建模。该分析有两个关键组成部分:(i)名称的未指定类别;(ii)名词和轻动词的组合约束,以指定选择偏好。前者的优点是没有参数识别的句法组合,后者防止过度泛化,同时识别两个谓词的语义贡献。这项工作还说明了印地语LVC的协议事实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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