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Clitic left dislocation and inverse scope: Plain indefinites versus numerals

Published online by Cambridge University Press:  28 July 2022

DESPINA OIKONOMOU
Affiliation:
Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany despina.oikonomou@hu-berlin.de; despina.oikonomou@alum.mit.edu
FELIX GOLCHER
Affiliation:
Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany felix.golcher@hu-berlin.de
ARTEMIS ALEXIADOU
Affiliation:
Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany and ZAS Berlin artemis.alexiadou@hu-berlin.de
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Abstract

The syntax of Clitic Left Dislocation (CLLD) has been widely debated due to its mixed properties, which in some cases indicate movement (e.g. island sensitivity, certain connectivity effects) and in other cases base generation of the CLLD-ed phrase (wide scope, lack of weak crossover). In this paper we discuss scope facts with CLLD in Greek, revealing a contrast depending on the type of quantifier. We present experimental evidence that whereas CLLD-ed plain indefinites take wide scope, CLLD-ed numerals can get a low scope interpretation. We argue that the inverse scope interpretation with CLLD-ed numerals is only apparent, presenting, in fact, an instance of split scope between the degree quantifier and the existential operator. This analysis presents evidence in favor of a movement analysis for CLLD, thus patterning with the observation that binding reconstruction is possible. At the same time, the non-availability of scope reconstruction with CLLD is attributed to stricter locality constraints which have been discussed for quantifier raising as opposed to other types of movement and dependencies.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1 Conditions in experiments 7 and 8.

Figure 1

Figure 1 Surface (Con1)

Figure 2

Figure 2 Inverse (Con2)

Figure 3

Figure 3 Surface (Con3)

Figure 4

Figure 4 Inverse (Con4)

Figure 5

Figure 5 (Colour online) Focus Exp. The mean response of the participants is shown on the y axis. Larger semitransparent blobs correspond to a higher number of participants having this particular mean response. The error bars are bootstrapped confidence intervals as computed with the Hmisc R package (Harrell & Dupont 2019).

Figure 6

Table 2 Mean proportion of acceptance in Focus Exp.

Figure 7

Figure 6 (Colour online) CLLD Exp. The mean response of the participants is shown on the y axis. Larger semitransparent blobs correspond to a higher number of participants having this particular mean response. The error bars are bootstrapped confidence intervals as computed with the Hmisc R package (Harrell & Dupont 2019).

Figure 8

Table 3 Mean proportion of acceptance in CLLD Exp.

Figure 9

Figure 7 Surface (Con1)

Figure 10

Figure 8 Inverse (Con2)

Figure 11

Figure 9 Surface (Con3)

Figure 12

Figure 10 Inverse (Con4)

Figure 13

Figure 11 (Colour online) Num Exp. The mean response of the participants is shown on the y axis. Larger semitransparent blobs correspond to a higher number of participants having this particular mean response. The error bars are bootstrapped confidence intervals as computed with the Hmisc R package Harrell & Dupont (2019).

Figure 14

Table 4 Mean proportion of acceptance in Num Exp.