Hanumant Redkar


2020

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Part-of-Speech Annotation Challenges in Marathi
Gajanan Rane | Nilesh Joshi | Geetanjali Rane | Hanumant Redkar | Malhar Kulkarni | Pushpak Bhattacharyya
Proceedings of the WILDRE5– 5th Workshop on Indian Language Data: Resources and Evaluation

Part of Speech (POS) annotation is a significant challenge in natural language processing. The paper discusses issues and challenges faced in the process of POS annotation of the Marathi data from four domains viz., tourism, health, entertainment and agriculture. During POS annotation, a lot of issues were encountered. Some of the major ones are discussed in detail in this paper. Also, the two approaches viz., the lexical (L approach) and the functional (F approach) of POS tagging have been discussed and presented with examples. Further, some ambiguous cases in POS annotation are presented in the paper.

2019

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Introduction to Sanskrit Shabdamitra: An Educational Application of Sanskrit Wordnet
Malhar Kulkarni | Nilesh Joshi | Sayali Khare | Hanumant Redkar | Pushpak Bhattacharyya
Proceedings of the 6th International Sanskrit Computational Linguistics Symposium

2017

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Hindi Shabdamitra: A Wordnet based E-Learning Tool for Language Learning and Teaching
Hanumant Redkar | Sandhya Singh | Meenakshi Somasundaram | Dhara Gorasia | Malhar Kulkarni | Pushpak Bhattacharyya
Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)

In today’s technology driven digital era, education domain is undergoing a transformation from traditional approaches to more learner controlled and flexible methods of learning. This transformation has opened the new avenues for interdisciplinary research in the field of educational technology and natural language processing in developing quality digital aids for learning and teaching. The tool presented here - Hindi Shabhadamitra, developed using Hindi Wordnet for Hindi language learning, is one such e-learning tool. It has been developed as a teaching and learning aid suitable for formal school based curriculum and informal setup for self learning users. Besides vocabulary, it also provides word based grammar along with images and pronunciation for better learning and retention. This aid demonstrates that how a rich lexical resource like wordnet can be systematically remodeled for practical usage in the educational domain.

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Hindi Shabdamitra: A Wordnet based E-Learning Tool for Language Learning and Teaching
Hanumant Redkar | Sandhya Singh | Dhara Gorasia | Meenakshi Somasundaram | Malhar Kulkarni | Pushpak Bhattacharyya
Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)

2016

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Verbframator:Semi-Automatic Verb Frame Annotator Tool with Special Reference to Marathi
Hanumant Redkar | Sandhya Singh | Nandini Ghag | Jai Paranjape | Nilesh Joshi | Malhar Kulkarni | Pushpak Bhattacharyya
Proceedings of the 13th International Conference on Natural Language Processing

2015

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IndoWordNet Dictionary: An Online Multilingual Dictionary using IndoWordNet
Hanumant Redkar | Sandhya Singh | Nilesh Joshi | Anupam Ghosh | Pushpak Bhattacharyya
Proceedings of the 12th International Conference on Natural Language Processing

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Unsupervised Most Frequent Sense Detection using Word Embeddings
Sudha Bhingardive | Dhirendra Singh | Rudramurthy V | Hanumant Redkar | Pushpak Bhattacharyya
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2014

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Introduction to Synskarta: An Online Interface for Synset Creation with Special Reference to Sanskrit
Hanumant Redkar | Jai Paranjape | Nilesh Joshi | Irawati Kulkarni | Malhar Kulkarni | Pushpak Bhattacharyya
Proceedings of the 11th International Conference on Natural Language Processing

2012

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An Efficient Database Design for IndoWordNet Development Using Hybrid Approach
Venkatesh Prabhu | Shilpa Desai | Hanumant Redkar | Neha Prabhugaonkar | Apurva Nagvenkar | Ramdas Karmali
Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing