The areas of interest include, but are not limited to:

• Sanskrit Computational Linguistics: with Extensions to Related Ancient Indian Languages (Vedic, Pali, Prakrit)
• Digital lexicons, thesauri and wordnets
• Computational phonology and morphology
• Syntactic analysis
• Prose order normalisation
• Parsing
• Discourse analysis
• Structural semantics
• Machine translation
• Automatic analysis of Sanskrit corpus
• Navya-Nyāya and other technical language processing
• Information extraction
• Named entity recognition
• Shāstric Sanskrit Texts and Computation
• Computer modeling and simulation of Paninian and other traditional grammars
• Theories of Śābdabodha and Sanskrit computational processing
• Sanskrit Digital Libraries Management
• Tools for acquisition and maintenance of Sanskrit digital corpus
• Library crawlers or search tools in Sanskrit corpus
• Incorporation of grammatical information in Sanskrit corpus
• Automated tools for evaluation of Sanskrit poetry, e.g., meter recognition/verification, alaṃkāra identification, śleṣa analysis
• Software tools for phylogenic studies, intertextuality management, establishment of critical editions, and other philological applications
• OCR recognition of romanized Sanskrit as well as ancient Indian scripts
• Digital cataloguing of manuscripts
• Annotation and editing
• Alignment of text with images (including manuscripts)
• User interface design
• Miscellaneous Computer Applications Relevant to Sanskrit
• Software tools for teaching Sanskrit
• Sanskrit speech recognition and synthesis
• Tools and applications for Sanskrit dissemination