Paper Info
Title
Balancing SoNaR: IPR versus Processing Issues in a 500-Million-Word Written Dutch Reference Corpus
Abstract
In The Low Countries, a major reference corpus for written Dutch is currently being built. In this paper, we discuss the interplay between data acquisition and data processing during the creation of the SoNaR Corpus. Based on recent developments in traditional corpus compiling and new web harvesting approaches, SoNaR is designed to contain 500 million words, balanced over 36 text types including both traditional and new media texts. Beside its balanced design, every text sample included in SoNaR will have its IPR issues settled to the largest extent possible. This data collection task presents many challenges because every decision taken on the level of text acquisition has ramifications for the level of processing and the general usability of the corpus later on. As far as the traditional text types are concerned, each text brings its own processing requirements and issues. For new media texts - SMS, chat - the problem is even more complex, issues such as anonimity, recognizability and citation right, all present problems that have to be tackled one way or another. The solutions may actually lead to the creation of two corpora: a gigaword SoNaR, IPR-cleared for research purposes, and the smaller of commissioned size - more privacy compliant SoNaR, IPR-cleared for commercial purposes as well.
Year
Venue
Keywords
2010
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
new media,data collection,data acquisition
Field
DocType
Citations 
Data collection,Computer science,Usability,Citation,Text types,Data acquisition,New media,Speech recognition,Sonar,Artificial intelligence,Natural language processing
Conference
6
PageRank 
References 
Authors
0.74
10
5
Name
Order
Citations
PageRank
Martin Reynaert1699.59
Nelleke Oostdijk221937.48
Orphée De Clercq31179.61
Henk van den Heuvel427245.75
Franciska de Jong592484.89