A Shadrova - Journal of Data Mining & Digital Humanities, 2021 - jdmdh.episciences.org
The social sciences and digital humanities have recently adopted the machine learning technique of topic modeling to address research questions in their fields. This is problematic …
Simple Summary An information theory approach provides new methods for experimental studying and analysis of animals' communication and behavioural sequences. One of the …
A Shadrova, P Linscheid, J Lukassek… - Frontiers in …, 2021 - frontiersin.org
In this paper, we present corpus data that questions the concept of native speaker homogeneity as it is presumed in many studies using native speakers (L1) as a control …
C Ochoa, G Navarro - IEEE Transactions on Information Theory, 2018 - ieeexplore.ieee.org
Irreducible grammars are a class of context-free grammars with well-known representatives, such as Repair (with a few tweaks), Longest Match, Greedy, and Sequential. We show that a …
R Friedrich - Frontiers in Physics, 2021 - frontiersin.org
We study the language of legal codes from different countries and legal traditions, using concepts from physics, algorithmic complexity theory and information theory. We show that …
The Predictive Rate–Distortion curve quantifies the trade-off between compressing information about the past of a stochastic process and predicting its future accurately …
We present a hypothetical argument against finite-state processes in statistical language modeling that is based on semantics rather than syntax. In this theoretical model, we …
The thesis located in corpus linguistics analyzes the acquisition of coselectional constraint in learners of German as a second language in a quasi-longitudinal design based on the …
Ł Dębowski - IEEE Transactions on Information Theory, 2023 - ieeexplore.ieee.org
As it is known, universal codes, which estimate the entropy rate consistently, exist for stationary ergodic sources over finite alphabets but not over countably infinite ones. We …