Causal Semantics for Implicative Verbs

Author:

Nadathur Prerna1

Affiliation:

1. The Ohio State University Department of Linguistics, , Columbus, Ohio, USA

Abstract

Abstract Implicative verbs (e.g., manage, dare) are characterized by complement inferences (Karttunen, 1971). English manage entails its complement; the entailment reverses polarity with matrix negation, and is accompanied by a projective inference to the complement’s non-triviality (Coleman, 1975; Karttunen & Peters, 1979). I use data from Finnish and English to argue that the implicative inferential profile is derived from backgrounded relations of causal necessity and causal sufficiency (defined over the structure of a formal causal model; Pearl 2000; Schulz 2011) which link the lexical content of an implicative verb to the realization of its complement. The proposal builds on Baglini & Francez’s (2016) causal analysis of manage, but significantly revises the earlier proposal to offer a treatment which accounts not only for English manage, but extends to the lexical semantics of the full implicative class, including ‘polarity-reversing’ verbs like fail, lexically specific verbs like dare, and their Finnish counterparts. Unlike earlier analyses, the proposed causal semantics also provides a natural explanation of the commonalities between two-way entailing verbs like manage and a related class of weaker ‘one-way’ implicatives such as Finnish jaksaa (‘have the strength’), which entail complement truth values under only one matrix polarity, but generate strong pragmatic implicatures in the two-way implicative pattern under the non-entailing polarity.

Publisher

Oxford University Press (OUP)

Subject

Artificial Intelligence,Linguistics and Language,Arts and Humanities (miscellaneous)

Reference71 articles.

1. Direct causation: a new approach to an old question;Baglini,2020

2. The implications of managing;Baglini;Journal of Semantics,2016

3. Causal selection: the linguistic take;Bassel,2020

4. Scalar implicature as a grammatical phenomenon;Chierchia,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3