no code implementations • 6 Feb 2024 • Carolin Müller-Spitzer, Samira Ochs, Alexander Koplenig, Jan-Oliver Rüdiger, Sascha Wolfer
It is also argued that gender-inclusive language has negative effects on language learners.
no code implementations • 29 Apr 2023 • Alexander Koplenig
In a recent paper published in the Journal of Language Evolution, Kauhanen, Einhaus & Walkden (https://doi. org/10. 1093/jole/lzad005, KEW) challenge the results presented in one of my papers (Koplenig, Royal Society Open Science, 6, 181274 (2019), https://doi. org/10. 1098/rsos. 181274), in which I tried to show through a series of statistical analyses that large numbers of L2 (second language) speakers do not seem to affect the (grammatical or statistical) complexity of a language.
no code implementations • 26 Jan 2022 • Alexander Koplenig, Sascha Wolfer
It was recently suggested in a study published in Nature Human Behaviour that the historical loosening of American culture was associated with a trade-off between higher creativity and lower order.
no code implementations • 27 May 2020 • Sascha Wolfer, Alexander Koplenig, Frank Michaelis, Carolin Müller-Spitzer
The coronavirus pandemic may be the largest crisis the world has had to face since World War II.
no code implementations • 11 Aug 2016 • Alexander Koplenig, Peter Meyer, Sascha Wolfer, Carolin Mueller-Spitzer
Based on a quantitative analysis of more than 1, 500 unique translations of different books of the Bible in more than 1, 100 different languages that are spoken as a native language by approximately 6 billion people (more than 80% of the world population), we present large-scale evidence for a statistical trade-off between the amount of information conveyed by the ordering of words and the amount of information conveyed by internal word structure: languages that rely more strongly on word order information tend to rely less on word structure information and vice versa.
no code implementations • 6 Nov 2015 • Alexander Koplenig, Carolin Mueller-Spitzer
In order to demonstrate why it is important to correctly account for the (serial dependent) structure of temporal data, we document an apparently spectacular relationship between population size and lexical diversity: for five out of seven investigated languages, there is a strong relationship between population size and lexical diversity of the primary language in this country.
no code implementations • 26 Aug 2015 • Alexander Koplenig
In this paper, a method for measuring synchronic corpus (dis-)similarity put forward by Kilgarriff (2001) is adapted and extended to identify trends and correlated changes in diachronic text data, using the Corpus of Historical American English (Davies 2010a) and the Google Ngram Corpora (Michel et al. 2010a).