17 citations · 50 across the 11 of their papers we have counts for
11 papers
IndiText Boost: Text Augmentation for Low Resource India Languages
Onkar Litake, Niraj Yagnik, Shreyas Labhsetwar
Text Augmentation is an important task for low-resource languages. It helps deal with the problem of data scarcity. A data augmentation strategy is used to deal with the problem of…
Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi
Maithili Sabane, Onkar Litake, Aman Chadha
The recent advances in deep-learning have led to the development of highly sophisticated systems with an unquenchable appetite for data. On the other hand, building good deep-learn…
Enhancing Low Resource NER Using Assisting Language And Transfer Learning
Maithili Sabane, Aparna Ranade, Onkar Litake +3
Named Entity Recognition (NER) is a fundamental task in NLP that is used to locate the key information in text and is primarily applied in conversational and search systems. In com…
Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique
Shriniwas Nayak, Anuj Kanetkar, Hrushabh Hirudkar +3
Suggesting similar questions for a user query has many applications ranging from reducing search time of users on e-commerce websites, training of employees in companies to holisti…
Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil
Shantanu Patankar, Omkar Gokhale, Onkar Litake +2
This paper tries to address the problem of abusive comment detection in low-resource indic languages. Abusive comments are statements that are offensive to a person or a group of p…
PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages
Aditya Vyawahare, Rahul Tangsali, Aditya Mandke +2
This paper presents a summary of the findings that we obtained based on the shared task on machine translation of Dravidian languages. We stood first in three of the five sub-tasks…
Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil
Omkar Gokhale, Shantanu Patankar, Onkar Litake +2
This paper aims to perform an emotion analysis of social media comments in Tamil. Emotion analysis is the process of identifying the emotional context of the text. In this paper, w…
L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models
Parth Patil, Aparna Ranade, Maithili Sabane +2
Named Entity Recognition (NER) is a basic NLP task and finds major applications in conversational and search systems. It helps us identify key entities in a sentence used for the d…
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition
Onkar Litake, Maithili Sabane, Parth Patil +2
Named entity recognition (NER) is the process of recognising and classifying important information (entities) in text. Proper nouns, such as a person's name, an organization's name…
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources
Aditya Mandke, Onkar Litake, Dipali Kadam
With the recent developments in the field of Natural Language Processing, there has been a rise in the use of different architectures for Neural Machine Translation. Transformer ar…
Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block
Durvesh Malpure, Onkar Litake, Rajesh Ingle
In recent developments in the field of Computer Vision, a rise is seen in the use of transformer-based architectures. They are surpassing the state-of-the-art set by CNN architectu…