TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Koplenig, Alexander
T1  - A data-driven method to identify (correlated) changes in chronological corpora
JF  - Journal of Quantitative Linguistics
N2  - In this paper, an exploratory data-driven method is presented that extracts word-types from diachronic corpora that have undergone the most pronounced change in frequency of occurrence in a given period of time. Combined with statistical methods from time series analysis, the method is able to find meaningful patterns and relationships in diachronic corpora, an idea that is still uncommon in linguistics. This  indicates that the approach can  facilitate an improved  understanding of diachronic processes.
KW  - BNC
KW  - COHA
KW  - Google Books Ngram corpora
KW  - diachronic corpora
KW  - text mining
KW  - Englisch
KW  - Korpus <Linguistik>
KW  - Sprachgeschichte
KW  - Text Mining
KW  - Wortschatz
KW  - time series analysis
KW  - Sprachstatistik
Y1  - 2017
SN  - 0929-6174 (Print)
SS  - 0929-6174 (Print)
SN  - 1744-5035 (Online)
SS  - 1744-5035 (Online)
U6  - https://doi.org/10.1080/09296174.2017.1311447
DO  - https://doi.org/10.1080/09296174.2017.1311447
N1  - Dieser Beitrag ist aus urheberrechtlichen Gründen nicht frei zugänglich.
Due to copyright reasons the full-text of the article is not freely accessible. 

Preprint: <a href="http://nbn-resolving.de/urn:nbn:de:bsz:mh39-42569">http://nbn-resolving.de/urn:nbn:de:bsz:mh39-42569</a>
VL  - 24
IS  - 4
SP  - 289
EP  - 318
PB  - Routledge, Taylor & Francis
CY  - London u.a.
ER  -