Artikel
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Using the Google Ngram Corpora for six different languages (including two varieties of English), a large-scale time series analysis is conducted. It is demonstrated that diachronic changes of the parameters of the Zipf–Mandelbrot law (and the parameter of the Zipf law, all estimated by maximum likelihood) can be used to quantify and visualize important aspects of linguistic change (as represented in the Google Ngram Corpora). The analysis also reveals that there are important cross-linguistic differences. It is argued that the Zipf–Mandelbrot parameters can be used as a first indicator of diachronic linguistic change, but more thorough analyses should make use of the full spectrum of different lexical, syntactical and stylometric measures to fully understand the factors that actually drive those changes.
- Sprache
-
Englisch
- Thema
-
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Koplenig, Alexander
- Ereignis
-
Veröffentlichung
- (wer)
-
Berlin [u.a.] : de Gruyter
- (wann)
-
2018-04-16
- URN
-
urn:nbn:de:bsz:mh39-73491
- Letzte Aktualisierung
-
06.03.2025, 09:00 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Koplenig, Alexander
- Berlin [u.a.] : de Gruyter
Entstanden
- 2018-04-16
Ähnliche Objekte (12)
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Analyzing lexical change in diachronic corpora
A fully data-driven method to identify (correlated) changes in diachronic corpora
ZIPFFIT: stata module to fit the Zipf distribution or the Zipf-Mandelbrot distribution by maximum likelihood. Stata program archived at Boston college’s software statistics components archive
A fully data-driven method to identify (correlated) changes in diachronic corpora
Visualisierung von lexikalischem Wandel im Deutschen auf Basis der Google-Books Ngram Daten
Autocorrelated errors explain the apparent relationship between disapproval of the US Congress and prosocial language
Why the quantitative analysis of diachronic corpora that does not consider the temporal aspect of time-series can lead to wrong conclusions
Population Size Predicts Lexical Diversity, but so Does the Mean Sea Level – Why It Is Important to Correctly Account for the Structure of Temporal Data
Empirical research into dictionary use. A brief guide
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Analyzing lexical change in diachronic corpora
A fully data-driven method to identify (correlated) changes in diachronic corpora
ZIPFFIT: stata module to fit the Zipf distribution or the Zipf-Mandelbrot distribution by maximum likelihood. Stata program archived at Boston college’s software statistics components archive
A fully data-driven method to identify (correlated) changes in diachronic corpora
Visualisierung von lexikalischem Wandel im Deutschen auf Basis der Google-Books Ngram Daten
Autocorrelated errors explain the apparent relationship between disapproval of the US Congress and prosocial language
Why the quantitative analysis of diachronic corpora that does not consider the temporal aspect of time-series can lead to wrong conclusions
Population Size Predicts Lexical Diversity, but so Does the Mean Sea Level – Why It Is Important to Correctly Account for the Structure of Temporal Data
Empirical research into dictionary use. A brief guide
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
Analyzing lexical change in diachronic corpora
A fully data-driven method to identify (correlated) changes in diachronic corpora
ZIPFFIT: stata module to fit the Zipf distribution or the Zipf-Mandelbrot distribution by maximum likelihood. Stata program archived at Boston college’s software statistics components archive
A fully data-driven method to identify (correlated) changes in diachronic corpora
Visualisierung von lexikalischem Wandel im Deutschen auf Basis der Google-Books Ngram Daten
Autocorrelated errors explain the apparent relationship between disapproval of the US Congress and prosocial language
Why the quantitative analysis of diachronic corpora that does not consider the temporal aspect of time-series can lead to wrong conclusions
Population Size Predicts Lexical Diversity, but so Does the Mean Sea Level – Why It Is Important to Correctly Account for the Structure of Temporal Data