Linguistic Su-Field engineering: Turkish sentence patterns and TRIZ standard solutions for semantic repair
Küçük Resim Yok
Tarih
2026
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Emerald Group Publishing Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
PurposeThis study introduces Linguistic Su-Field Engineering, a TRIZ-based approach for diagnosing and repairing semantic inconsistencies in Turkish sentences. By applying Su-Field logic to natural language, the study proposes a functional bridge between engineering problem solving and linguistic clarity enhancement.Design/methodology/approachTurkish sentences were modeled as functional systems composed of subject (S1), action (F) and object (S2), reflecting Su-Field structures rather than Turkish SOV syntax. Thirty-five linguistic Su-Field patterns were derived from common ambiguity types and paired with relevant TRIZ Standard Solutions. A quasi-experimental study with 20 non-native learners compared comprehension of original versus TRIZ-repaired text passages. Improvements were evaluated using the Wilcoxon signed-rank test.FindingsTRIZ-repaired sentences yielded statistically significant gains in comprehension and perceived clarity. Learners reported that the explicit functional roles and clarified interactions reduced cognitive load and improved interpretability. The results indicate that TRIZ-based semantic repair enhances sentence-level coherence and instructional usefulness.Research limitations/implicationsAlthough evaluated on Turkish, the method is applicable to other morphologically rich and structurally flexible languages, providing a conceptual foundation for future rule-based and interpretable NLP tools.Originality/valueTo the best of the authors knowledge, the study is the first to integrate Su-Field logic into natural language systems, offering a transparent and interpretable mechanism for semantic repair. It extends TRIZ beyond engineering applications toward linguistic analysis and explainable NLP.
Açıklama
Anahtar Kelimeler
TRIZ, Su-Field analysis, Semantic repair, Natural language processing, Linguistic engineering
Kaynak
International Journal of Intelligent Computing and Cybernetics
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
