Decoding The Book of Dede Korkut using Fuzzy Logic and Systemic Functional Linguistics- A Corpus-Based Exploration

Abstract

This study investigates the stylistic, linguistic, and emotional dimensions of The Book of Dede Korkut using a corpus-based framework that combines Systemic Functional Linguistics, fuzzy logic, and sentiment analysis. Bridging computational methods with traditional literary scholarship, the research offers insights into how oral narrative traditions encode cultural cognition and emotional complexity. A corpus of 43,068 words from the text by Abdulla and Aliev (2023) was analyzed using the UAM Corpus Tool to extract lexical, syntactic, and rhetorical patterns. The results revealed an academic word frequency of 8.54%, lexical rareness of 3.6%, and 16.5% punctuation-based structures, indicating a strong reliance on oral storytelling conventions. Sentiment analysis showed a balanced emotional tone with 2.9% positive, 2.75% negative, and 2.6% neutral expressions. The use of fuzzy logic enhanced the interpretation of ambiguity and layered meanings within the text. This interdisciplinary approach highlights the potential of computational linguistics in uncovering cognitive and cultural structures in historical epics, religious texts, and indigenous narratives.