activity
20032020
most citedAnusaaraka: Machine Translation in Stages

47 citations · 78 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2020★ 4 cited

Validation and Normalization of DCS corpus using Sanskrit Heritage tools to build a tagged Gold Corpus

Sriram Krishnan, Amba Kulkarni, Gérard Huet

The Digital Corpus of Sanskrit records around 650,000 sentences along with their morphological and lexical tagging. But inconsistencies in morphological analysis, and in providing…

cs.CL2020★ 2 cited

Sanskrit Segmentation Revisited

Sriram Krishnan, Amba Kulkarni

Computationally analyzing Sanskrit texts requires proper segmentation in the initial stages. There have been various tools developed for Sanskrit text segmentation. Of these, Gérar…

math.HO2007

Recursion and Combinatorial Mathematics in Chandashaastra

Amba Kulkarni

Contribution of Indian Mathematics since Vedic Period has been recognised by the Historians. Pingala (200 BC) in his book on 'Chandashaastra', a text related to the description and…

cs.CL2003★ 5 cited

LERIL : Collaborative Effort for Creating Lexical Resources

Akshar Bharati, Dipti M Sharma, Vineet Chaitanya +3

The paper reports on efforts taken to create lexical resources pertaining to Indian languages, using the collaborative model. The lexical resources being developed are: (1) Transfe…

cs.CL2003

Language Access: An Information Based Approach

Akshar Bharati, Vineet Chaitanya, Amba P. Kulkarni +1

The anusaaraka system (a kind of machine translation system) makes text in one Indian language accessible through another Indian language. The machine presents an image of the sour…

cs.CL2003★ 20 cited

Anusaaraka: Overcoming the Language Barrier in India

Akshar Bharati, Vineet Chaitanya, Amba P. Kulkarni +2

The anusaaraka system makes text in one Indian language accessible in another Indian language. In the anusaaraka approach, the load is so divided between man and computer that the…