Hoffmann, S. (2007) Processing internet-derived text - creating a corpus of usenet messages. Literary and Linguistic Computing, 22 (2). pp. 35-55. ISSN 1477-4615Full text not available from this repository.
In recent years, linguists have become increasingly interested in the language of the Internet—both as an object of investigation as well as a source of authentic data to complement traditional electronic corpora. However, Internet-derived data is typically very messy data and a conversion process is often required in order to enable researchers to carry out a reliable quantitative investigation of the patterns observed with the help of standard corpus tools. In this article, I discuss the technical and methodological aspects involved in creating a large corpus of asynchronous computer-mediated communication by downloading and post-processing hundreds of thousands messages posted in twelve Usenet newsgroups. After describing how messages can be arranged into hierarchically structured discussion threads, I focus at some length on the strategies that are required to correctly assign authorship to the different textual elements in individual messages. My algorithms have a success rate of well over 90% for most newsgroups and the resulting corpus can thus serve as a suitable basis for an investigation into the interactive strategies employed in this particular type of written communication.
|Journal or Publication Title:||Literary and Linguistic Computing|
|Additional Information:||RAE_import_type : Journal article RAE_uoa_type : Linguistics|
|Subjects:||P Language and Literature > P Philology. Linguistics|
|Departments:||Faculty of Arts & Social Sciences > Linguistics & English Language|
|Deposited On:||05 Mar 2008 13:07|
|Last Modified:||27 Feb 2017 01:45|
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