Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Experimental investigations of ambiguity: the case of most

Experimental investigations of ambiguity: the case of most

Thumbnail Image
Download
Name

11050_2015_Article_9113.pdf

Size

2.01 MB

Format

Adobe PDF

Checksum (MD5)

2975e58915408e1d97ab8302cc2eefd0

Download all files submitted through automated deposit
art_8172956360157267078.zip (1.55 MB)
Author(s)
Kotek, Hadas
•
Sudo, Yasutada
•
Hackl, Martin
Date Issued
April 2015
Journal
Natural Language Semantics
Publisher
Springer Netherlands
Citation
Kotek, Hadas, Yasutada Sudo, and Martin Hackl. “Experimental Investigations of Ambiguity: The Case of Most.” Natural Language Semantics 23, no. 2 (April 25, 2015): 119–156.
Version
Author's final manuscript
Abstract
In the study of natural language quantification, much recent attention has been devoted to the investigation of verification procedures associated with the proportional quantifier most. The aim of these studies is to go beyond the traditional characterization of the semantics of most, which is confined to explicating its truth-functional and presuppositional content as well as its combinatorial properties, as these aspects underdetermine the correct analysis of most. The present paper contributes to this effort by presenting new experimental evidence in support of a decompositional analysis of most according to which it is a superlative construction built from a gradable predicate many or much and the superlative operator -est (Hackl, in Nat Lang Semant 17:63–98, 2009). Our evidence comes in the form of verification profiles for sentences like Most of the dots are blue which, we argue, reflect the existence of a superlative reading of most. This notably contrasts with Lidz et al.’s (Nat Lang Semant 19:227–256, 2011) results. To reconcile the two sets of data, we argue, it is necessary to take important differences in task demands into account, which impose limits on the conclusions that can be drawn from these studies.
MIT Department
Massachusetts Institute of Technology. Department of Linguistics and Philosophy
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/106359
DOI of Published Version
https://doi.org/10.1007/s11050-015-9113-0
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.