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In more recent studies also using mtDNA, the hypothesis that language classifications reflect the genetic structure of Native American populations was also rejected [2], [14].
The tests of treeness indicated that language classifications provide the best fit to mitochondrial data when they included external features of language classification trees and no deeper internal relationships between languages [14].
The unsupervised classification method built on top of such measures have been shown here to consistently produce phylogenic trees for species genomes as well language classifications built on text documents.
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The two sorts of language classification, historical and typological, serve different purposes and are differently based.
This method showed promising performance in experiments on language classification and authorship attribution.
Figure 2 shows the scatterplots for each language classification using the comprehensive (a) and severity (b) criteria.
One type of classifier that is often used for various supervised natural language classification tasks is the naïve Bayes classifier.
The difference between indigenous people and nonindigenous residents is that indigenous people have the advantage of multigenerational knowledge, and traditional knowledge of language, classification, and nomenclature that they learn from parents, grandparents, and other elders.
To better understand the linguistic profile of the at-risk group, we explored the language classification of each child in scatterplots contrasting the total of behavioral problems and the total of social competence (T-scores).
First, we compared the 4,200 trees from the posterior probability distribution presented in Gray et al to the language classification in the Ethnologue [31].
He emphasized that language classification was quite similar to biological classification of animals or plants 25.
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