Abstract
This paper presents an approach which performs a Style Analysis of Academic Writing in terms of formal voice, readability and scientific language. Our intention is an analysis of academic writing style as a feedback for the authors and editors. The extracted features of a document collection are used to create Self-Organizing Maps which are the interim results to generate reports in our Full Automatic Paper Analysis System (Fapas). To evaluate this method, the system has to solve different tasks to verify the informative value of the generated maps and reports.
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Scholz, T., Conrad, S. (2011). Style Analysis of Academic Writing. In: Muñoz, R., Montoyo, A., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2011. Lecture Notes in Computer Science, vol 6716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22327-3_30
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DOI: https://doi.org/10.1007/978-3-642-22327-3_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22326-6
Online ISBN: 978-3-642-22327-3
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