TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Teich, Elke
A1  - Degaetano-Ortlieb, Stefania
A1  - Fankhauser, Peter
A1  - Kermes, Hannah
A1  - Lapshinova-Koltunski, Ekaterina
T1  - The linguistic construal of disciplinarity: A data-mining approach using register features
JF  - Journal of the Association for Information Science and Technology
N2  - We analyze the linguistic evolution of selected scientific disciplines over a 30-year time span (1970s to 2000s). Our focus is on four highly specialized disciplines at the boundaries of computer science that emerged during that time: computational linguistics, bioinformatics, digital construction, and microelectronics. Our analysis is driven by the question whether these disciplines develop a distinctive language use—both individually and collectively—over the given time period. The data set is the English Scientific Text Corpus (scitex), which includes texts from the 1970s/1980s and early 2000s. Our theoretical basis is register theory. In terms of methods, we combine corpus-based methods of feature extraction (various aggregated features [part-of-speech based], n-grams, lexico-grammatical patterns) and automatic text classification. The results of our research are directly relevant to the study of linguistic variation and languages for specific purposes (LSP) and have implications for various natural language processing (NLP) tasks, for example, authorship attribution, text mining, or training NLP tools.
KW  - data mining
KW  - automatic classification
Y1  - 2015
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-44369
SN  - 1097-4571
SS  - 1097-4571
U6  - https://doi.org/10.1002/asi.23457
DO  - https://doi.org/10.1002/asi.23457
SP  - 1
EP  - 11
ET  - Early View (Online Version of Record published before inclusion in an issue)
ER  -