The impact of lacking metadata and data truncation for the measurement of cultural and linguistic change using the Google Ngram datasets
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Deutsch
- Classification
-
Sprache, Linguistik
- Keyword
-
Sprachwandel
Kulturwandel
Sprachstatistik
Korpus
Datenstruktur
Metadaten
- Event
-
Veröffentlichung
- (where)
-
Mannheim
- (who)
-
Institut für Deutsche Sprache, Bibliothek
- (when)
-
2014
- Creator
-
Koplenig, Alexander
- URN
-
urn:nbn:de:bsz:mh39-31557
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:39 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Koplenig, Alexander
- Institut für Deutsche Sprache, Bibliothek
Time of origin
- 2014
Other Objects (12)
The impact of lacking metadata and data truncation for the measurement of cultural and linguistic change using the Google Ngram datasets
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Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
The impact of lacking metadata and data truncation for the measurement of cultural and linguistic change using the Google Ngram datasets
Autocorrelated errors explain the apparent relationship between disapproval of the US Congress and prosocial language
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
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
Visualisierung von lexikalischem Wandel im Deutschen auf Basis der Google-Books Ngram Daten
A fully data-driven method to identify (correlated) changes in diachronic corpora
Autocorrelated errors explain the apparent relationship between disapproval of the US Congress and prosocial language
Quantifying the efficiency of written language
Language structure is influenced by the number of speakers but seemingly not by the proportion of non-native speakers
Language structure is influenced by the number of speakers but seemingly not by the proportion of non-native speakers
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
The impact of lacking metadata and data truncation for the measurement of cultural and linguistic change using the Google Ngram datasets
Autocorrelated errors explain the apparent relationship between disapproval of the US Congress and prosocial language
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis
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
Visualisierung von lexikalischem Wandel im Deutschen auf Basis der Google-Books Ngram Daten
A fully data-driven method to identify (correlated) changes in diachronic corpora
Autocorrelated errors explain the apparent relationship between disapproval of the US Congress and prosocial language
Quantifying the efficiency of written language
Language structure is influenced by the number of speakers but seemingly not by the proportion of non-native speakers
Language structure is influenced by the number of speakers but seemingly not by the proportion of non-native speakers
Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis