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Example-based querying for linguistic specialist corpora

  • The paper describes preliminary studies regarding the usage of Example-Based Querying for specialist corpora. We outline an infrastructure for its application within the linguistic domain. Example-Based Querying deals with retrieval situations where users would like to explore large collections of specialist texts semantically, but are unable to explicitly name the linguistic phenomenon they look for. As a way out, the proposed framework allows them to input prototypical everyday language examples or cases of doubt, which are automatically processed by CRF and linked to appropriate linguistic texts in the corpus.

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Metadaten
Author:Roman Schneider
URN:urn:nbn:de:bsz:mh39-75357
URL:http://lrec-conf.org/workshops/lrec2018/W17/pdf/book_of_proceedings.pdf
ISBN:979-10-95546-14-6
Parent Title (English):Proceedings of the LREC 2018 Workshop “Challenges in the Management of Large Corpora (CMLC-6)” 07 May 2018 – Miyazaki, Japan
Publisher:European language resources association (ELRA)
Place of publication:Paris
Document Type:Part of a Book
Language:English
Year of first Publication:2018
Date of Publication (online):2018/06/13
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:grammar and syntax; information retrieval; infrastructures and architectures; machine learning methods; specialist corpora
GND Keyword:Automatische Sprachanalyse; Grammatik; Information Retrieval; Korpus <Linguistik>; Syntax
First Page:26
Last Page:32
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Grammatikforschung
Linguistics-Classification:Korpuslinguistik
Licence (English):License LogoCreative Commons - Attribution-NonCommercial 4.0 International