Detecting the boundaries of sentence-like units on spoken German

Automatic division of spoken language transcripts into sentence-like units is a challenging problem, caused by disfluencies, ungrammatical structures and the lack of punctuation. We present experiments on dividing up German spoken dialogues where we investigate the impact of task setup and data representation, encoding of context information as well as different model architectures for this task.

Metadaten
Author:	Josef Ruppenhofer, Ines Rehbein
URN:	urn:nbn:de:bsz:mh39-93174
URL:	https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/Preliminary_proceedings_of_the_15th_Conference_on_Natural_Language_Processing_KONVENS_2019.pdf
URL:	https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/KONVENS2019_paper_32.pdf
Parent Title (English):	Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 – 11, 2019 at Friedrich-Alexander-Universität Erlangen-Nürnberg
Publisher:	German Society for Computational Linguistics & Language Technology und Friedrich-Alexander-Universität Erlangen-Nürnberg
Place of publication:	München [u.a.]
Document Type:	Conference Proceeding
Language:	English
Year of first Publication:	2019
Date of Publication (online):	2019/10/15
Publicationstate:	Veröffentlichungsversion
Reviewstate:	Peer-Review
GND Keyword:	Automatische Sprachanalyse; Deutsch; Gesprochene Sprache; Satz; Segmentierung
First Page:	130
Last Page:	139
DDC classes:	400 Sprache / 400 Sprache, Linguistik
Open Access?:	ja
Leibniz-Classification:	Sprache, Linguistik
Linguistics-Classification:	Computerlinguistik
Program areas:	Pragmatik
Program areas:	Digitale Sprachwissenschaft
Licence (German):	Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International

Open Access