Section 19, Computational Sanskrit and Digital Humanities
17th World Sanskrit Conference
Convenors: Gérard Huet & Amba Kulkarni

FULL papers are invited on original and unpublished research on various aspects of Computational Linguistics and Digital Humanities related to Sanskrit (Classical and Vedic), Prakrit, Pali, Buddhist Hybrid Sanskrit, etc. Accepted papers are to be published in advance of the WSC 2018 meetings in July 2018, or soon thereafter.

Scholars interested in participating in Section 19 (Computational Sanskrit and Digital Humanities) should submit an abstract as usual through the submission portal HERE, but must also attach a complete paper as a PDF at step 3 of the process (“Upload Supplementary Files”). These manuscript submissions will be reviewed by members of the Programme Committee, as given below. To prepare your manuscript for submission and to procure the relevant LaTeX style files, please download the WSC2018-Section 19 Support Package and follow the additional instructions given below.

The deadline for submitting papers for consideration is OCTOBER 1, 2017For further information and guidance, please email the WSC2018 Secretariat HERE

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

  • Computational linguistics:
    Digital lexicons, thesauri and wordnets
    Computational phonology and morphology
    Syntactic analysis
    Prose order normalisation
    Structural semantics
    Machine Translation
    Automatic analysis of Sanskrit corpus
    Machine Learning approaches to computational processing
    Navya Nyāya technical language processing and semantic analysis
    Information extraction
  • 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 & 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 ancient Indian scripts
    Digital cataloguing of manuscripts
    Digital font creation, rendering of phonetic features, etc.
  • Misc computer applications relevant to Sanskrit:
    Software tools for teaching Sanskrit
    Sanskrit speech recognition and synthesis
    Social media applications for Sanskrit dissemination

Instructions and Support Files for Submitting Manuscripts:

  • Please download the WSC2018-Section 19 Support Package which includes:
    1. Instructions & formatting guidelines, as a sample TeX file (CS_and_DH.tex)
    2. Instructions & formatting guidelines, as a sample PDF file (CS_and_DH.pdf)
    3. TeX style file (scl.sty)
    4. Bibliography style file (acl.bst)
    5. Sample bibliography file (scl.bib)
  • To compile your file using LaTeX, please follow this procedure:
    – Let the filename of your submission be ABC.tex
         1. xelatex ABC
         2. bibtex ABC
         3. bibtex ABC (please remember to run bibtex twice)
         4. xelatex ABC
  • Please submit your abstract through the regular submission portal (HERE), and attach a PDF of your complete paper in step 3 of the process (“Upload Supplementary Files”).
  • Complete papers must be submitted by the deadline of OCTOBER 1, 2017.

Programme Committee:

Tanuja Ajotikar (Belgavi, Karnataka)
Stefan Baums (University of Munich)
Yigal Bronner (Hebrew University of Jerusalem)
Pawan Goyal (IIT Kharagpur)
Olivier Hellwig (Düsseldorf University)
Gérard Huet (Inria Paris), co-chair
Amba Kulkarni (IIAS Simla), co-chair
Pawan Kumar (Chinmaya Vishwavidyapeeth, Veliyanad)
Girish Nath Jha (JNU, Delhi)
Andrew Ollett (Harvard University, Cambridge, MA)
Dhaval Patel (Ahmedabad)
Srinivasa Varakhedi (KSU, Bengaluru)