Results 281 to 290 of about 693,036 (338)
Abstract By skipping school for their cause, young climate strikers repeatedly demonstrated their priorities in 2019 and 2020. They regularly chose to sacrifice a day of their formal education in favour of collective action. This study asks what we can learn from the reflections of former youth strikers.
Loz J. Hennessy
wiley +1 more source
Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]
Bouton S +5 more
europepmc +1 more source
Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review. [PDF]
Mobtahej P +6 more
europepmc +1 more source
High-fidelity neural speech reconstruction through an efficient acoustic-linguistic dual-pathway framework. [PDF]
Li J, Guo C, Zhang C, Chang EF, Li Y.
europepmc +1 more source
Interpretable depression assessment using a large language model. [PDF]
Lee JJ, Han J, Woo CW.
europepmc +1 more source
Translating a Cookbook : Methods dealing with culture-specific phenomena and linguistic features
Maria Bodinger
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Linguistic Features of Noncoding DNA Sequences
Physical Review Letters, 1994We extend the Zipf approach to analyzing linguistic texts to the statistical study of DNA base pair sequences and find that the noncoding regions are more similar to natural languages than the coding regions. We also adapt the Shannon approach to quantifying the "redundancy" of a linguistic text in terms of a measurable entropy function, and ...
R N, Mantegna +6 more
openaire +2 more sources
STATISTICAL AND LINGUISTIC FEATURES OF DNA SEQUENCES
Fractals, 1995We present evidence supporting the idea that the DNA sequence in genes containing noncoding regions is correlated, and that the correlation is remarkably long range—indeed, base pairs thousands of base pairs distant are correlated. We do not find such a long-range correlation in the coding regions of the gene.
Havlin, S. +6 more
openaire +3 more sources
Linguistic Feature-Based Measures
2016This chapter discusses methods for cognitive load examination via language and shows that many features, some of which were originally designed to examine language complexity for learning analytics or comprehension, can be successfully applied to the cognitive load research.
Fang Chen +6 more
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