Have to, have got to, and must: NSM analyses of English modal verbs of ‘necessity’

No Thumbnail Available
File version
Author(s)
Goddard, Cliff
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)

Taboada, M

Trnavac, R

Date
2014
Size
File type(s)
Location
License
Abstract

This chapter investigates the semantics of a selection of English modal and semi-modal verbs of obligation-'have to', 'have got to', and 'must'-using the Natural Semantic Metalanguage (NSM) approach (Goddard & Wierzbicka eds. 2002; Goddard ed., 2008). Standard descriptions rely on technical notions such as necessity and obligation, plus further distinctions such as objective/subjective, participant-internal/participant-external, and scalar distinctions such as 'strong' vs. 'weak' (cf. Palmer 1990; van der Auwera and Plungian 1998; Krug 2000; Tagliamonte 2004). In contrast, the present study proposes reductive paraphrase explications framed exclusively in simple words of ordinary language, claimed to be universal semantic primes. The relevance for the field of veridicality can be summarised as follows. First, 'have to' and 'must' are generally characterized in the literature as being associated with an 'objective' vs. 'subjective' effect, respectively, properties connected with both veridicality and stance. The proposed analysis elucidates the nature of this effect. Second, the chapter argues that deontic 'must' contains a component of negative evaluation that is not shared with 'have to', correlated with the perceived greater seriousness of 'must'. Third, it is argued that deontic 'must' includes a desiderative element and that this helps account for distributional asymmetries with respect to combination with uncertainty operators such as 'maybe'; cf. ?'Maybe I/you must do' it vs. 'Maybe I/you have to do it'. The chapter is illustrated and evidenced with naturally occurring examples, from Wordbanks of English and other sources.

Journal Title
Conference Title
Book Title

Nonveridicality and Evaluation: Theoretical, computational and corpus approaches

Edition
Volume
Issue
Thesis Type
Degree Program
School
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

Self-archiving is not yet supported by this publisher. Please refer to the publisher's website or contact the author(s) for more information.

Item Access Status
Note
Access the data
Related item(s)
Subject

Linguistic structures (incl. phonology, morphology and syntax)

Persistent link to this record
Citation
Collections