Home
Register
Login
Browse Resources
Community
Statistics
Help
About
META-SHARE Members
META-SHARE Repositories
META-SHARE Managing Nodes
LR Sharing
Licensing LRs
Notice and Takedown Policy
Privacy
Data Protection
Data Protection Statement
4
Last view: 2024-12-20
Szeged Corpus
http://www.inf.u-szeged.hu/rgai/SzegedTreebank
ID:
101
A morpho-syntactically annotated and manually disambiguated corpus of 1.2 million words.
« Back
Download
You don’t have the permission to edit this resource.
Edit Resource
Distribution
Availability
Available - Restricted Use
Licence
MS - NC - No ReD
Restrictions:
Academic - Non Commercial Use
Distribution Access/Medium:
Downloadable
Licensors:
Veronika Vincze
http://www.inf.u-sze...
University of Szeged
SZTE
research fellow
[javascript protected email address]
Tisza Lajos krt. 103.
6720 Szeged
HU
Tel.: +3662546713
Fax: +3662546737
Department of Informatics
http://www.inf.u-sze...
SZTE
Tisza Lajos krt. 103.
6720 Szeged
[javascript protected email address]
Tel.: +3662546713
Fax: +3662546737
Contact Persons
Veronika Vincze
University of Szeged
SZTE
[javascript protected email address]
Department of Informatics
SZTE
[javascript protected email address]
János Csirik
University of Szeged
SZTE
[javascript protected email address]
Department of Informatics
SZTE
[javascript protected email address]
Richárd Farkas
University of Szeged
SZTE
[javascript protected email address]
Department of Informatics
SZTE
[javascript protected email address]
text
Monolingual text corpus
Languages
Hungarian
Linguality
Linguality type:
Monolingual
Size
82,000 Sentences
Annotation
Morphosyntactic Annotation - Pos Tagging
Segmentation level:
Word
Metadata
Created:
10/17/2011
Metadata Creator
Veronika Vincze
University of Szeged
SZTE
[javascript protected email address]
Department of Informatics
SZTE
[javascript protected email address]
Version
Version:
2.0
People who looked at this resource also viewed the following:
VERBA Polytechnic and Plurilingual Terminological Database - D-AE Climate Control
Estonian Open Parallel Corpus 2016. Estonian-English
Information technology terms used in standarts
Mandarin Chinese Telephone Speech Recognition Corpus - Stock