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Language discrimination and clustering via a neural network approach
July 15, 2015 · Declared Dead · 🏛 arXiv.org
"No code URL or promise found in abstract"
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Authors
Angelo Mariano, Giorgio Parisi, Saverio Pascazio
arXiv ID
1507.04116
Category
cond-mat.dis-nn
Cross-listed
cs.CL,
cs.NE,
physics.soc-ph
Citations
0
Venue
arXiv.org
Last Checked
2 months ago
Abstract
We classify twenty-one Indo-European languages starting from written text. We use neural networks in order to define a distance among different languages, construct a dendrogram and analyze the ultrametric structure that emerges. Four or five subgroups of languages are identified, according to the "cut" of the dendrogram, drawn with an entropic criterion. The results and the method are discussed.
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