Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 9 of 12
Back to Result List

Accelerating corpus search using multiple cores

  • The Manatee corpus management system on which the Sketch Engine is built is efficient, but unable to harness the power of today’s multiprocessor machines. We describe a new, compatible implementation of Manatee which we develop in the Go language and report on the performance gains that we obtained.

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Radoslav Rábara, Pavel Rychlý, Ondřej Herman, Miloš Jakubíček
URN:urn:nbn:de:bsz:mh39-62629
Parent Title (English):Proceedings of the Workshop on Challenges in the Management of Large Corpora and Big Data and Natural Language Processing (CMLC-5+BigNLP) 2017 including the papers from the Web-as-Corpus (WAC-XI) guest section. Birmingham, 24 July 2017
Publisher:Institut für Deutsche Sprache
Place of publication:Mannheim
Editor:Piotr Bański, Marc Kupietz, Harald Lüngen, Paul Rayson, Hanno Biber, Evelyn Breiteneder, Simon Clematide, John Mariani, Mark Stevenson, Theresa Sick
Document Type:Conference Proceeding
Language:English
Year of first Publication:2017
Date of Publication (online):2017/07/05
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:Corpus technology; Large corpora; Sketch engine; colonial language contact
GND Keyword:Datenmanagement; Korpus <Linguistik>; Suchmaschine; Texttechnologie
Page Number:5
First Page:30
Last Page:34
DDC classes:400 Sprache
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Korpuslinguistik
Conferences, Workshops:CMLC-5 + BigNLP / 5th Workshop on Challenges in the Management of Large Corpora and Big Data and Natural Language Processing
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 Deutschland