TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Degaetano-Ortlieb, Stefania
A1  - Fankhauser, Peter
A1  - Kermes, Hannah
A1  - Lapshinova-Koltunski, Ekaterina
A1  - Ordan, Noam
A1  - Teich, Elke
T1  - Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers
T2  - Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC '14)
N2  - We present a methodology to analyze the linguistic evolution of scientific registers with data mining techniques, comparing the insights gained from shallow vs. linguistic features. The focus is on selected scientific disciplines at the boundaries to computer science (computational linguistics, bioinformatics, digital construction, microelectronics). The data basis is the English Scientific Text Corpus (SCITEX) which covers a time range of roughly thirty years (1970/80s to early 2000s) (Degaetano-Ortlieb et al., 2013; Teich and Fankhauser, 2010). In particular, we investigate the diversification of scientific registers over time. Our theoretical basis is Systemic Functional Linguistics (SFL) and its specific incarnation of register theory (Halliday and Hasan, 1985). In terms of methods, we combine corpus-based methods of feature extraction and data mining techniques.
KW  - Data Mining
KW  - Text Classification
KW  - Register
KW  - Textklassifizierung
KW  - Korpus <Linguistik>
Y1  - 2014
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-26178
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-26178
SP  - 1327
EP  - 1334
PB  - European Language Resources Association (ELRA)
CY  - Reykjavik
ER  -