Voice mismatch and contrast in French Right-Node Raising

Dados Bibliográficos

ID10141572
AutoresAlexis Abeille (0000-0002-9187-2298, Université Paris Cité, autor correspondente), Aoi Shiraïshi (The University of Tokyo), Barbara Hemforth (0000-0001-8371-1323, Université Paris Cité)
Ano2023
Volume59
Fascículo2
Páginas361-388
Data de publicação2023-02-13
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Linguistics (JOURNAL)
Identificadores do periódicoISSN: 0022-2267 • E-ISSN: 1469-7742
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s002222672200055x
OpenAlexW4320496119
IdiomaEN
Citações recebidas2
Referências citadas30

Right-Node Raising is generally considered to impose stricter identity conditions than other kinds of ellipsis, such as VP ellipsis, according to Hankamer & Sag 1976 and Hardt 1993. In this paper, we investigate voice mismatch in French Right-Node Raising (RNR) through a corpus study and two experiments. We show that RNR with voice mismatch can be found in a written corpus (frTenTen 2012) and that many examples involve coordination of a reflexive active and a short passive form. We suggest this is because semantic contrast (here, between self and external agent) plays a role according to Hartmann (2000) and Abeillé and Mouret (2010). We ran two acceptability judgement experiments to test voice mismatch and semantic contrast. We did not find any penalty for voice mismatch with VP ellipsis but an interaction with semantic contrast. We also found an effect of semantic contrast when coordinating an active and a passive VP without participle ellipsis. We conclude that voice mismatch is acceptable with RNR and propose a Head-driven Phrase-Structure Grammar (HPSG) analysis, following Chaves (2014) and Shiraïshi et al. (2019)

Contrast (vision · Ellipsis (linguistics · Linguistics · Natural language processing · Node (physics · Phrase · Physics · Raising (metalworking · Speech recognition · Artificial Intelligence · Computer Science · Language, Discourse, Communication Strategies · Mathematics · Natural Language Processing Techniques · Philosophy · Syntax, Semantics, Linguistic Variation