Discovering Subtle Word Relations in Large German Corpora

With an increasing amount of text data available it is possible to automatically extract a variety of information about language. One way to obtain knowledge about subtle relations and analogies between words is to observe words which are used in the same context. Recently, Mikolov et al. proposed a method to efficiently compute Euclidean word representations which seem to capture subtle relations and analogies between words in the English language. We demonstrate that this method also captures analogies in the German language. Furthermore, we show that we can transfer information extracted from large non-annotated corpora into small annotated corpora, which are then, in turn, used for training NLP systems.

Metadaten
Author:	Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
URN:	urn:nbn:de:bsz:mh39-38317
Parent Title (English):	Proceedings of the 3rd Workshop on Challenges in the Management of Large Corpora (CMLC-3), Lancaster, 20 July 2015
Publisher:	Institut für Deutsche Sprache
Place of publication:	Mannheim
Editor:	Piotr Bański, Hanno Biber, Evelyn Breiteneder, Marc Kupietz, Harald Lüngen, Andreas Witt
Document Type:	Conference Proceeding
Language:	English
Year of first Publication:	2015
Date of Publication (online):	2015/07/02
Publicationstate:	Veröffentlichungsversion
Reviewstate:	Peer-Review
Tag:	Corpus annotation; Corpus linguistics; Corpus management; Corpus technology; Large corpora; National corpus
GND Keyword:	Annotation; Datenbanksystem; Korpus <Linguistik>
First Page:	11
Last Page:	14
DDC classes:	400 Sprache / 410 Linguistik
Open Access?:	ja
Linguistics-Classification:	Korpuslinguistik
Conferences, Workshops:	CMLC-3 / 3rd Workshop on Challenges in the Management of Large Corpora
Licence (German):	Creative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 Deutschland

Open Access