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Challenges in the Alignment, Management and Exploitation of Large and Richly Annotated Multi-Parallel Corpora

  • The availability of large multi-parallel corpora offers an enormous wealth of material to contrastive corpus linguists, translators and language learners, if we can exploit the data properly. Necessary preparation steps include sentence and word alignment across multiple languages. Additionally, linguistic annotation such as partof- speech tagging, lemmatisation, chunking, and dependency parsing facilitate precise querying of linguistic properties and can be used to extend word alignment to sub-sentential groups. Such highly interconnected data is stored in a relational database to allow for efficient retrieval and linguistic data mining, which may include the statistics-based selection of good example sentences. The varying information needs of contrastive linguists require a flexible linguistic query language for ad hoc searches. Such queries in the format of generalised treebank query languages will be automatically translated into SQL queries.

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Metadaten
Author:Johannes Graën, Simon Clematide
URN:urn:nbn:de:bsz:mh39-38348
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:Korpustechnologie
Corpus annotation; Corpus query language; Corpus technology; Large corpora; Parallel corpora
GND Keyword:Annotation; Datenbanksystem; Korpus <Linguistik>
First Page:15
Last Page:20
Dewey Decimal Classification:400 Sprache / 410 Linguistik
Linguistics-Classification:Korpuslinguistik
Conferences, Workshops:CMLC-3 / 3rd Workshop on Challenges in the Management of Large Corpora
Open Access?:Ja
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 Deutschland