3b238e271970461e6db4b7e 20250526085519189 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 05 30 2025 14 6 Department of Information Technology, UTAS - Nizwa, Oman (Nizwa), Oman. Perumal Sivaraman https://orcid.org/0009-0003-5301-8968 Dr. Prabaharan G https://orcid.org/0000-0002-8365-5322 Department of Computer Science and Engineering, Vel Tech Rangarajan, Dr. Sagunthala R and D Institute of Science and Technology, Morai (Tamil Nadu), India. Dr. Senthil Kumar R https://orcid.org/0000-0002-1393-756X Department of Computer Science and Engineering, Jain Deemed University, Bengaluru (Karnataka), India. Studying Natural Language Processing (NLP) for Classical Tamil and its Zonal Dialects using Machine Learning (ML) involves unique challenges and opportunities. Classical Tamil, one of the oldest languages with a rich literary heritage, differs significantly in syntax, semantics, and phonetics from its modern dialects. Addressing these differences requires incorporating linguistic axioms and cultural nuances into NLP systems. This deals with Tamil letters, Challenges, Future directions, and Lexical Differences. It also includes parsers and tokenisation. Lists the differences between Morphemes, Bounded Morphemes in terms of Tamil as a Natural Language processing—dictionary form of the words used in Lemmatizations. Stemming reduces the words, and Tamil is represented as a short sentence, comparing the differences in the Tamil dialect taken and represented. The methodology used is Clustering algorithms, which can group zonal dialects based on phonetic and semantic similarities using a Naïve Bayes classifier. We are using speechto-text to identify the Tamil dialect. This zonal dialect is essential in entertainment, education, information, and business. More Exploration can be done using Zonal dialects in Classical Tamil. Machine learning plays a role in classification, Grouping, and Segmenting Natural Language processing. We have different dialects in the Single Language Tamil for a single word in Natural Language Processing. Encourages local people to communicate fluently in terms of transactions. Preserving local traditions and customs is the advantage of Zonal Dialects. It can be used in interviews, recordings, written and spoken texts, and debates. Linguistic Diversity, preservation of History, and Cultural Identity are the significant concerns in Zonal dialects using classical Tamil. 05 30 2025 05 30 2025 36 44 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE) Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) Based on my understanding, this article has no conflicts of interest. This article has not been funded by any organizations or agencies. This independence ensures that the research is conducted with objectivity and without any external influence. The content of this article does not necessitate ethical approval or consent to participate with supporting documentation. The adequate resources of this article are publicly accessible. The authorship of this article is contributed equally to all participating individuals. 10.35940/ijitee.F1096.14060525 https://www.ijitee.org/portfolio-item/F109614060525/