Summary of the paper

Title Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach
Authors Stefania Degaetano-Ortlieb, Ekaterina Lapshinova-Koltunski and Elke Teich
Abstract In this paper, we present corpus-based procedures to semi-automatically discover features relevant for the study of recent language change in scientific registers. First, linguistic features potentially adherent to recent language change are extracted from the SciTex Corpus. Second, features are assessed for their relevance for the study of recent language change in scientific registers by means of correspondence analysis. The discovered features will serve for further investigations of the linguistic evolution of newly emerged scientific registers.
Topics Corpus (creation, annotation, etc.), Discourse annotation, representation and processing, Knowledge Discovery/Representation
Full paper Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach
Bibtex @InProceedings{DEGAETANOORTLIEB12.268,
  author = {Stefania Degaetano-Ortlieb and Ekaterina Lapshinova-Koltunski and Elke Teich},
  title = {Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
 }
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