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Volume 2 - Issue 3, May - June 2026
π Paper Information
| π Paper Title |
Bridging Language and Technology: Integrating Natural Language Processing and Linguistics for Advancing Digital Humanities Research |
| π€ Authors |
Sathiyapriya T |
| π Published Issue |
Volume 2 Issue 3 |
| π
Year of Publication |
2026 |
| π Unique Identification Number |
IJAMRED-V2I3P70 |
| π Search on Google |
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π Abstract
The rapid advancement of artificial intelligence (AI) has transformed the ways in which language, culture, and textual data are analyzed within contemporary humanities research. This paper examines the integration of Natural Language Processing (NLP) and linguistics and evaluates their growing significance within digital humanities scholarship. The study adopts a conceptual interdisciplinary review approach to explore how linguistic theories and computational models contribute to the development of intelligent language technologies capable of analyzing and interpreting large textual datasets. Particular attention is given to applications such as machine translation, sentiment analysis, text mining, authorship attribution, corpus analysis, and archival digitization. The paper also addresses the growing role of large language models and AI-assisted humanities pedagogy in reshaping scholarly practices. Furthermore, the study critically examines methodological and ethical concerns, including algorithmic bias, cultural exclusion, data privacy, and interpretative limitations in computational humanities research. By integrating linguistic knowledge with computational methodologies, NLP systems can support more nuanced and context-sensitive analyses of literary and historical texts. The paper argues that interdisciplinary collaboration between linguistics, AI, and humanities scholarship is essential for developing ethically responsible and culturally inclusive digital research frameworks. The study concludes that the integration of NLP and linguistics has transformative potential for advancing digital humanities while preserving interpretative depth and scholarly rigor. electronic document is a βliveβ template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.
π How to Cite
Sathiyapriya T,"Bridging Language and Technology: Integrating Natural Language Processing and Linguistics for Advancing Digital Humanities Research" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(3): Page(436-438) May-June 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.