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Multiple question fronting without relational constraints: An analysis of Russian as a basis for cross-linguistic modeling

  • We present an analysis of multiple question fronting in a restricted variant of the HPSG formalism (DELPH-IN) where unification is the only natively defined operation. Analysing multiple fronting in this formalism is challenging, because it requires carefully handling list appends, something that HPSG analyses of question fronting heavily rely on. Our analysis uses the append list type to address this challenge. We focus the testing of our analysis on Russian, although we also integrate it into the Grammar Matrix customization system where it serves as a basis for cross-linguistic modeling. In this context, we discuss the relationship of our analysis to lexical threading and conclude that, while lexical threading has its advantages, modeling multiple extraction cross-linguistically is easier without the lexical threading assumption.

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Metadaten
Author:Olga ZamaraevaORCiD, Guy EmersonORCiD
URN:urn:nbn:de:hebis:30:3-730876
DOI:https://doi.org/10.21248/hpsg.2020.9
ISSN:1535-1793
Parent Title (English):Proceedings of the ... International Conference on Head-Driven Phrase Structure Grammar (HPSG)
Publisher:CSLI Publications
Place of publication:Stanford, CA
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2020/10/15
Year of first Publication:2020
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:International Conference on Head Driven Phrase Structure Grammar (27 : 2020 : Berlin ; Seattle, Wash. ; Online)
Release Date:2024/09/13
GND Keyword:Russisch; Interrogativsatz; Topikalisierung
Volume:27.2020
Page Number:21
First Page:157
Last Page:177
Dewey Decimal Classification:4 Sprache / 40 Sprache / 400 Sprache
4 Sprache / 41 Linguistik / 410 Linguistik
Sammlungen:Linguistik
Linguistik-Klassifikation:Linguistik-Klassifikation: Syntax
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International