Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/2045
Title: Corpus‐based analysis of spoken narratives. Introducing a corpus and a search tool
Other Titles: Korpusna analiza govornoga pripovijedanja. Prikaz korpusa i alata za pretragu
Authors: Wasserscheidt, Philipp
Mandić, Marija
Vollstädt, Nadine
Jovanović, Ana
Tanasijević, Ivana 
Vuković, Teodora
Simović, Ivana Vučina
Yazhinova, Uliana
Zečević, Anđelka
Affiliations: Informatics and Computer Science 
Keywords: corpus;deep annotation;narrative;Serbian;spoken language
Issue Date: 1-Jan-2020
Rank: M23
Publisher: Zagreb : Hrvatsko filološko društvo
Journal: Govor
Abstract: 
This paper is concerned with the development of a synchronic corpus containing Serbian spoken narratives and its use for narrative analysis. The corpus (CRONUS – Corpus for the Research On Narratives and their Use in Speech) is optimised to study the structure and use of this discourse genre. First, data sources are presented, followed by corpus creation and access. The semi-spontaneous spoken narratives were orthographically transcribed, and the corpus deeply annotated, with special emphasis on the annotation of narrative sections following Labov’s approach and the annotation of argument structure constructions in the sense of Construction Grammar. Three case studies demonstrate how morphological and constructional annotation can be effective for the exploration of narratives.
URI: https://research.matf.bg.ac.rs/handle/123456789/2045
ISSN: 03527565
DOI: 10.22210/govor.2020.37.08
Appears in Collections:Research outputs

Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.