हृषीकेश राजेश तेरदाळकर
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natural language processing
Aganittyam: Learning Tamil Grammar through Knowledge Graph based Templatized Question Answering
In this work, we introduce a novel Grammar Question-Answering System (Aganittyam) and its associated corpus on the dravidian language …
Mithilesh K
,
Amarjit Madhumalararungeethayan
,
Dharanish Rahul S
,
Abhijith Balan
,
C Oswald
,
Hrishikesh Terdalkar
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Samanvaya: An Interlingua for Unity of Indian Languages
Interlingua serves as a constructed bridge language, designed to simplify communication and analysis across diverse natural languages …
Chaitali Dangarikar
,
Arnab Bhattacharya
,
Karthika N J
,
Hrishikesh Terdalkar
,
Pramit Bhattacharyya
,
Annarao Kulkarni
,
Chaitanya S Lakkundi
,
Ganesh Ramakrishnan
,
Shivani V
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Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation
One of the primary obstacles in the advancement of Natural Language Processing (NLP) technologies for low-resource languages is the …
Hrishikesh Terdalkar
,
Arnab Bhattacharya
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Sanskrit Knowledge-based Systems: Annotation and Computational Tools
We address the challenges and opportunities in the development of knowledge systems for Sanskrit, with a focus on question answering. …
Hrishikesh Terdalkar
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Question-Answering System for Ramayana
Under the umbrella of Indian Knowledge Systems (IKS) division of All India Council for Technical Education (AICTE), Government of India, we target the problem of building general purpose knowledge graph from Sanskrit text of Vālmīki Rāmāyaṇa as well as building natural language question answering system on top of the constructed KG. Due to several limitations related to the state of the art of Sanskrit NLP for semantic tasks, we opt for the process of manual annotation. We have developed a comprehensive NLP annotation tool Antarlekhaka, which is being used for this large scale annotation task.
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