Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Govilkar, Sharvari"'
Autor:
Amin, Dhiraj, Govilkar, Sharvari, Kulkarni, Sagar, Lalit, Yash Shashikant, Khwaja, Arshi Ajaz, Xavier, Daries, Gupta, Sahil Girijashankar
Code-mixing, the blending of linguistic elements from distinct languages to form meaningful sentences, is common in multilingual settings, yielding hybrid languages like Hinglish and Minglish. Marathi, India's third most spoken language, often integr
Externí odkaz:
http://arxiv.org/abs/2309.16202
Precise answers are extracted from a text for a given input question in a question answering system. Marathi question answering system is created in recent studies by using ontology, rule base and machine learning based approaches. Recently transform
Externí odkaz:
http://arxiv.org/abs/2309.15779
Plagiarism detection is one of the most researched areas among the Natural Language Processing(NLP) community. A good plagiarism detection covers all the NLP methods including semantics, named entities, paraphrases etc. and produces detailed plagiari
Externí odkaz:
http://arxiv.org/abs/2308.12842
Autor:
Vyawahare, Madhura, Govilkar, Sharvari
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 10 No. 4 (2022); 201-210
Increasing invective posts on online social media platforms is of great concern considering the wellbeing of society and psychological health of youth. These invective posts many times take the form of cyberbullying if not tackled in an early stage.
Autor:
Vyawahare, Madhura, Govilkar, Sharvari
Publikováno v:
Social Network Analysis & Mining; 11/18/2022, Vol. 12 Issue 1, p1-13, 13p
Publikováno v:
2015 IEEE Electrical Insulation Conference (EIC); 2015, p1-4, 4p