Anil Kumar

Computational literary scholar working at the intersection of digital humanities, computational linguistics, and literary studies, with a focus on analysing large-scale textual corpora from classical and multilingual traditions, particularly Sanskrit and Pali.

My research develops computational approaches to modelling linguistic structure, semantics, and interpretation in literary texts, integrating Paninian grammatical theory with modern NLP methods. I contribute to emerging directions in computational literary studies and digital philology, with an emphasis on low-resource and globally underrepresented textual traditions.

With a combination of academic research and industry experience, I bring a distinctive perspective that integrates theoretical insight with practical system development. This interdisciplinary and applied background strengthens my ability to design computational frameworks, develop digital humanities infrastructure, and contribute to innovative research and teaching in computational approaches to literary and textual analysis.

Assistant Professor (Permanent Faculty)

Central Sanskrit University 2023 – Present

• Teaching postgraduate courses in Computational Linguistics, NLP, and Digital Humanities
• Supervising research in NLP and computational text analysis
• Designing interdisciplinary curriculum integrating literary studies and computation
• IT Head, Mukta Swadhyaya Peetham:
  • Developed institutional LMS and academic digital infrastructure
  • Led ICT initiatives for teaching, research, and administration
  • Implemented e-learning platforms and digital academic tools
• Developed e-readers, digital texts, and corpus-based teaching resources

Guest Faculty, University of Hyderabad 2014 – 2015

Scopus Indexed Publications

• Kulkarni, A., Paul, S., Kulkarni, M., Kumar, A., Surtani, N. (2012). Semantic Processing of Compounds in Indian Languages. COLING 2012.
• Kumar, A., Mittal, V., Kulkarni, A. (2010). Sanskrit Compound Processor. Springer LNCS.

Other Peer-Reviewed Publications

• Kumar, A., Kulkarni, A., Shailaj, N. (2024). START: Sanskrit Teaching, Annotation, and Research Tool. Proceedings of the 7th International Sanskrit Computational Linguistics Symposium.
• Kulkarni, A., Kumar, A. (2013). Clues from Ashtadhyayi for Compound Identification. Proceedings of 5th SCLS.
• Kulkarni, A., Paul, S., Kulkarni, M., Kumar, A., Surtani, N. (2012). Semantic Processing of Compounds in Indian Languages. Proceedings of COLING 2012.
• Kumar, A., Kulkarni, A. (2011). Statistical Constituency Parser for Sanskrit Compounds. ICON 2011.
• Kumar, A., Mittal, V., Kulkarni, A. (2010). Sanskrit Compound Processor. Springer LNCS.
• Kumar, A., Sheeba, V., Kulkarni, A. (2009). Sanskrit Compound Paraphrase Generator. ICON 2009.

Assistant Professor, Central Sanskrit University 2023 – Present

• Designed and taught postgraduate and advanced-level courses in Computational Linguistics, Natural Language Processing (NLP), Digital Text Analysis and Corpus Methods, Sanskrit Computational Studies
• Developed interdisciplinary curriculum integrating computational methods with literary and linguistic analysis
• Incorporated ICT-enabled pedagogy, including e-readers, annotation tools, LMS-based teaching
• Supervised postgraduate student research
• Designed assignments involving text processing and computational modelling
• Contributed to curriculum development

Guest Faculty, University of Hyderabad 2014 – 2015

• Taught courses in Computational Linguistics and Sanskrit language technologies
• Mentored students in project-based learning

• International Sanskrit Computational Linguistics Symposium (SCLS), IIT Bombay
• Workshops on Sanskrit and Computers
• Linguistic Society of India Conference
• Rule-Based Expert Systems Workshop, CDAC