Application of the Fibonacci Series in Natural Language Processing

Radu Bucea Manea Tonis; Adrian Beteringhe

Authors

Radu Bucea Manea Tonis
Adrian Beteringhe Danubius University of Galati

Keywords:

functional programming; language analysis; mathematical logic; parsing trees

Abstract

The article investigates some possibilities of using the new Javascript programming language for generating parsing trees and histograms for natural language processing (NLP). At the same time, we are trying to break away from the AI-type paradigm ("stochastic parrot") applied in language theory considering it too limited and focusing more on the rational approach, exploring the functional characteristics of Javascript language in the key of predicate logic.

References

Joachim Tilsted Kristensen, Robin Kaarsgaard, Michael Kirkedal Thomsen; Jeopardy: An Invertible Functional Programming Language; 2022

Abdullah Khanfor, Ye Yang; An Overview of Practical Impacts of Functional Programming; Conference Paper; December 2017; DOI: 10.1109/APSECW.2017.27; URL: https://www.researchgate.net/publication/323714122

Peter Ljunglof; Functional programming and NLP; January 1, 2002

Daniël de Kok, Harm Brouwer, Natural Language Processing for the Working Programmer, 2011

Paul Krill; C++ still shining in language popularity index; InfoWorld; Feb 7, 2023; URL: https://www.infoworld.com/article/3687174/c-still-shining-in-language-popularity-index.html

w01. https://machinelearningmastery.com/natural-language-processing/

w02. https://www.insidermonkey.com/blog/top-5-programming-languages-for-ai-and-natural-language-processing-1167657/

w03. https://www.kommunicate.io/blog/nlp-libraries-node-javascript/

w04. https://winkjs.org/wink-nlp-utils/tokens-bigrams.js.html

w05. https://winkjs.org/wink-nlp/getting-started.html