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Scientific Reports|October 29, 2023
Languages with more speakers tend to be harder to (machine-)learnAlexander Koplenig, Sascha WolferCognitive Science|June 6, 2022
Testing the Relationship between Word Length, Frequency, and Predictability Based on the German Reference CorpusAlexander Koplenig, Marc Kupietz, Sascha WolferScientific Reports|September 16, 2023
A large quantitative analysis of written language challenges the idea that all languages are equally complexAlexander Koplenig, Sascha Wolfer, Peter MeyerEntropy (Basel, Switzerland)|December 3, 2020
Studying Lexical Dynamics and Language Change via Generalized Entropies: The Problem of Sample SizeAlexander Koplenig, Sascha Wolfer, Carolin Müller-SpitzerPlos One|March 11, 2017
The statistical trade-off between word order and word structure - Large-scale evidence for the principle of least effortAlexander Koplenig, Peter Meyer, Sascha Wolfer, et al.Royal Society Open Science|March 21, 2019
Language structure is influenced by the number of speakers but seemingly not by the proportion of non-native speakersAlexander KoplenigEntropy (Basel, Switzerland)|November 27, 2024
Still No Evidence for an Effect of the Proportion of Non-Native Speakers on Natural Language ComplexityAlexander KoplenigCognitive Science|September 14, 2023
Is More Always Better? Testing the Addition Bias for German Language StatisticsSascha WolferPlos One|March 4, 2016
Population Size Predicts Lexical Diversity, but so Does the Mean Sea Level --Why It Is Important to Correctly Account for the Structure of Temporal DataAlexander Koplenig, Carolin Müller-SpitzerPageof 2