Corpus of contemporary blogs

 
LINDAT / CLARIAH-CZ
  Authors
Grác, Marek
  Item identifier
http://hdl.handle.net/11858/00-097C-0000-000E-011B-8
 Project URL
http://nlp.fi.muni.cz/projekty/cocb/
 Date issued
2011
 Type
corpus, text
 Size
10 mb
 Language(s)
Czech
 Description
In NLP Centre, dividing text into sentences is currently done with a tool which uses rule-based system. In order to make enough training data for machine learning, annotators manually split the corpus of contemporary text CBB.blog (1 million tokens) into sentences. Each file contains one hundredth of the whole corpus and all data were processed in parallel by two annotators. The corpus was created from ten contemporary blogs: hintzu.otaku.cz modnipeklo.cz bloc.cz aleneprokopova.blogspot.com blog.aktualne.cz fuchsova.blog.onaidnes.cz havlik.blog.idnes.cz blog.aktualne.centrum.cz klusak.blogspot.cz myego.cz/welldone
 Publisher
Masaryk University, NLP Centre
 Subject(s)
corpus blogs annotation annotators sentences machine learning
 Collection(s)
LINDAT / CLARIAH-CZ Data & Tools
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Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
Distributed under Creative Commons Attribution Required Noncommercial No Derivative Works
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CoCB.zip
Size
3.98 MB
Format
application/zip
Description
In NLP Centre, dividing text into sentences is currently done with a tool which uses rule-based system. In order to make enough training data for machine learning, we split the corpus of contemporary text CBB.blog (1 million tokens) with annotators into senteces. Each file contains one hundredth of the whole corpus and all data were processed in parallel by two annotators.
MD5
1abb8d3e784da994fe265c31d95d2fcb
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    • README3 kB