A Computational Analysis of Natural Languages to Build a Sentence Structure Aware Artificial Neural Network
Computation and Language
2019-07-09 v1
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.
Keywords
Cite
@article{arxiv.1906.05491,
title = {A Computational Analysis of Natural Languages to Build a Sentence Structure Aware Artificial Neural Network},
author = {Alberto Calderone},
journal= {arXiv preprint arXiv:1906.05491},
year = {2019}
}