当前位置: X-MOL 学术Nat. Lang. Linguist. Theory › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
States in the decomposition of verbal predicates
Natural Language & Linguistic Theory ( IF 1.156 ) Pub Date : 2020-12-03 , DOI: 10.1007/s11049-020-09496-6
Giorgos Spathas , Dimitris Michelioudakis

This paper proposes a new diagnostic for the detection of stative sub-events in the decomposition of verbal predicates. The diagnostic is based on a certain type of presupposition triggered by additive operators like Greek ke ‘also’, which we call Stative Presuppositions. It is argued that the generation of such Stative Presuppositions requires the existence of a syntactically accessible constituent that denotes a predicate of states that additive operators can take scope over. We investigate the distribution of Stative Presuppositions and observe that not all verbs that support inferences to a result state give rise to them. Based on this distribution we argue for a non-uniform analysis of result verbs; whereas some verbs require an event-decompositional analysis, others are better captured by scalar- and incrementality-based analyses. We cast our analysis in the framework of Distributed Morphology and propose to explain non-uniformity based on how different types of verbal roots interact with verbal functional material. Moreover, treating roots as the locus of encyclopedic information explains lexical variation in the generation of Stative Presuppositions within sub-classes of result verbs. We strengthen our conclusions by considering and rejecting alternative syntactic and semantic mechanisms for generating Stative Presuppositions. We conclude that the availability of Stative Presuppositions with additive operators is currently the most reliable diagnostic for the detection of syntactically accessible result states in verbal decomposition.

中文翻译:

动词谓词分解中的状态

本文提出了一种新的诊断方法,用于检测动词谓词分解中的静态子事件。诊断基于某种类型的预设,这些预设是由希腊语 ke 'also' 等加法运算符触发的,我们称之为静态预设。有人认为,此类静态预设的生成需要存在句法上可访问的成分,该成分表示加法运算符可以接管的状态谓词。我们调查了静态预设的分布,并观察到并非所有支持对结果状态的推断的动词都会产生它们。基于这种分布,我们主张对结果动词进行非统一分析;有些动词需要事件分解分析,而其他动词则可以通过基于标量和增量的分析更好地捕获。我们在分布式形态学的框架内进行分析,并建议根据不同类型的词根如何与词功能材料相互作用来解释非均匀性。此外,将词根视为百科全书信息的位置解释了结果动词子类中静态预设生成中的词汇变化。我们通过考虑和拒绝用于生成静态预设的替代句法和语义机制来加强我们的结论。我们得出结论,带有加法运算符的静态预设的可用性是目前最可靠的诊断方法,用于检测语言分解中句法可访问的结果状态。
更新日期:2020-12-03
down
wechat
bug