Sentence-final particles in multiple phases? Some evidence from language contact

Cinque’s (1999) cartographic theory associates one meaning with one functional head. As such, if applied to sentence-final particles (SFPs), cartographic assumptions ought to group semantically similar SFPs onto the same functional head cross-linguistically (cf. Pan 2019; Sybesma Li 2007). However,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Yearbook of the Poznan Linguistic Meeting Jg. 7; H. 1; S. 1 - 41
1. Verfasser: Chang, Tsan Tsai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Adam Mickiewicz University 25.09.2021
Uniwersytet Adama Mickiewicza
Schlagworte:
ISSN:2449-7525, 2449-7525
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Cinque’s (1999) cartographic theory associates one meaning with one functional head. As such, if applied to sentence-final particles (SFPs), cartographic assumptions ought to group semantically similar SFPs onto the same functional head cross-linguistically (cf. Pan 2019; Sybesma Li 2007). However, I show that aspectual and restrictive focus SFPs in Cantonese and Mandarin (Sinitic, Sino-Tibetan) seemingly contradict Cinque by occupying different structural positions despite their semantic closeness. To shed light on the problem, I adduce novel data from Guangzhou Cantonese and Singapore Cantonese, demonstrating that SFPs borrowed into these varieties are treated differently according to their structural height. Likewise citing scopal and other facts, I ultimately make a case for placing SFPs in multiple phases (Chomsky 2000 etc.), following Erlewine (2017) and Biberauer (2017), but contra Pan (2019), a.o. To accommodate Cinque (1999), I ultimately submit that different-phase SFPs constitute distinct lexical classes, which each cluster separately, but in the same semantically determined sequence compatible with cartographic assumptions.
ISSN:2449-7525
2449-7525
DOI:10.14746/yplm.2021.7.1