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arXiv · 1906.05491

A Computational Analysis of Natural Languages to Build a Sentence Structure Aware Artificial Neural Network

Alberto Calderone
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Abstract

Natural languages are complexly structured entities. They exhibit characterising regularities that can be exploited to link them one another. In this work, I compare two morphological aspects of languages: Written Patterns and Sentence Structure. I show how languages spontaneously group by similarity in both analyses and derive an average language distance. Finally, exploiting Sentence Structure I developed an Artificial Neural Network capable of distinguishing languages suggesting that not only word roots but also grammatical sentence structure is a characterising trait which alone suffice to identify them.

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Alberto Calderone. 2019-06-13. A Computational Analysis of Natural Languages to Build a Sentence Structure Aware Artificial Neural Network. https://doi.org/10.6084/m9.figshare.8796725.v1

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