• ISSN: 2382-6282 (Print); 2972-3108 (Online)
    • Abbreviated Title: Int. J. Lang. Lit. Linguist.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJLLL
    • Editor-in-Chief: Dr. Jason Miin-Hwa Lim
    • Managing Editor:  Jennifer X. Zeng
    • Indexed by:   CNKI, Google Scholar, Crossref,
    • E-mail: ijlll_Editor@126.com
IJLLL 2016 Vol.2(4): 185-189 ISSN: 2382-6282
DOI: 10.18178/IJLLL.2016.2.4.92

Support Profile Leads to a Pattern among Natural Languages

Anfal ALGharabally, Bala Kalyanasundaram, and Mahe Velauthapillai

Abstract—Given a collection of texts from different spoken languages, this paper investigates the fundamental question of discovering a common pattern among these languages. Considering the fact that orthography differs, amongst many other things, should there even exist a pattern among many natural languages? Further, will the pattern change if we choose a different collection of texts? Can we concisely characterize the pattern and possibly associate a meaning to the pattern? This paper introduces a concept called support profile for any collection of strings. A simple yet intuitive hypothesis that predicts a hidden pattern among support profiles of individual natural languages is presented. The pattern has an elegant mathematical representation and it can be explained by a limitation on sound production of the speakers of the language. Languages from six different families are chosen to validate the hypothesis. They are Arabic, English, Finnish, Greek, Latin, Maltese, Swahili, Tagalog and Turkish. The hypothesis is called The Universal Support Hypothesis for Natural Languages. Intuitively, the pattern predicted by the hypothesis is the existence of a small support set. This set differs from one language to another but it happens to coincide with the set of vowels of the natural language.

Index Terms—Approximation algorithm, k-letter, universal support set, vowels.

Anfal ALGharabally is with the Public Authority for Applied Education and Training, Kuwait (e-mail: anfalqw8@gmail.com).
Bala Kalyanasundaram and Mahe Velauthapillai are with the Computer Science Dept., George-town University, Washington DC, USA (e-mail: @kalyan@cs.georgetown.edu, $mahe@cs.georgetown.edu).


Cite:Anfal ALGharabally, Bala Kalyanasundaram, and Mahe Velauthapillai, "Support Profile Leads to a Pattern among Natural Languages," International Journal of Languages, Literature and Linguistics vol. 2, no. 4, pp. 185-189, 2016.

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