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Redewiedergabe – Schritte zur automatischen Erkennung

Speech, thought and writing representation – towards automatic detection

  • This contribution presents a quantitative approach to speech, thought and writing representation (ST&WR) and steps towards its automatic detection. Automatic detection is necessary for studying ST&WR in a large number of texts and thus identifying developments in form and usage over time and in different types of texts. The contribution summarizes results of a pilot study: First, it describes the manual annotation of a corpus of short narrative texts in relation to linguistic descriptions of ST&WR. Then, two different techniques of automatic detection – a rule-based and a machine learning approach – are described and compared. Evaluation of the results shows success with automatic detection, especially for direct and indirect ST&WR.

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Metadaten
Author:Annelen Brunner
URN:urn:nbn:de:bsz:mh39-87699
DOI:https://doi.org/10.1515/zgl-2019-0007
ISSN:1613-0626
Parent Title (German):Zeitschrift für germanistische Linguistik
Publisher:de Gruyter
Place of publication:Berlin [u.a.]
Document Type:Article
Language:German
Year of first Publication:2019
Date of Publication (online):2019/04/23
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
GND Keyword:Annotation; Automatische Sprachanalyse; Korpus <Linguistik>; Redewiedergabe; Sprachstatistik
Volume:47
Issue:1
First Page:216
Last Page:248
Note:
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Dewey Decimal Classification:400 Sprache / 430 Deutsch
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Korpuslinguistik
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 Deutschland