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pro vyhledávání: '"Kulkarni, Amba"'
Autor:
Sandhan, Jivnesh, Narsupalli, Yaswanth, Muppirala, Sreevatsa, Krishnan, Sriram, Satuluri, Pavankumar, Kulkarni, Amba, Goyal, Pawan
Multi-component compounding is a prevalent phenomenon in Sanskrit, and understanding the implicit structure of a compound's components is crucial for deciphering its meaning. Earlier approaches in Sanskrit have focused on binary compounds and neglect
Externí odkaz:
http://arxiv.org/abs/2310.09501
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 crucial information like the segmented word, urges the need for standa
Externí odkaz:
http://arxiv.org/abs/2005.06545
Autor:
Krishnan, Sriram, Kulkarni, Amba
Computationally analyzing Sanskrit texts requires proper segmentation in the initial stages. There have been various tools developed for Sanskrit text segmentation. Of these, G\'erard Huet's Reader in the Sanskrit Heritage Engine analyzes the input t
Externí odkaz:
http://arxiv.org/abs/2005.06383
Akademický článek
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Autor:
Kulkarni, Amba
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 analysis of meters in poetic work, describes algorithms which deal wi
Externí odkaz:
http://arxiv.org/abs/math/0703658
Publikováno v:
Published in the proceedings of Knowledge Based Computer Systems Conference, 2000, Tata McGraw Hill, New Delhi 2000
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 source text in a language close to the target language. In the image, some
Externí odkaz:
http://arxiv.org/abs/cs/0308019
Autor:
Bharati, Akshar, Sharma, Dipti M, Chaitanya, Vineet, Kulkarni, Amba P, Sangal, Rajeev, Rao, Durgesh D
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) Transfer lexicon and grammar from English to several Indian languages. (2) De
Externí odkaz:
http://arxiv.org/abs/cs/0308020
Publikováno v:
Published in "Anuvad: Approaches to Translation", Rukmini Bhaya Nair, (editor), Sage, New Delhi, 2001
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 language load is taken by the machine, and the interpretation of the t
Externí odkaz:
http://arxiv.org/abs/cs/0308018
Publikováno v:
Vivek, A Quarterly in Artificial Intelligence, 10, 3, July 1997, pp. 22-25
Fully-automatic general-purpose high-quality machine translation systems (FGH-MT) are extremely difficult to build. In fact, there is no system in the world for any pair of languages which qualifies to be called FGH-MT. The reasons are not far to see
Externí odkaz:
http://arxiv.org/abs/cs/0306130
Autor:
Kulkarni, Amba
Avec l’avènement du world wide web (www) et les progrès de l’informatique, les chercheurs et le grand public vivent ce que l’on appelle une « explosion de l’information ». D’énormes quantités d’informations sont disponibles dans plu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::07d26c8346c55bc5c47f03d0eefc87e5
https://journals.openedition.org/ashp/6451
https://journals.openedition.org/ashp/6451