As data size increases drastically, its variety also increases. Investigating such
heterogeneous data is one of the most challenging tasks in information management and …

The spread of hate speech on social media space is currently a serious issue. The
undemanding access to the enormous amount of information being generated on these …

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 …

Identifying the lexical category or Part of Speech (POS) of words is critical for developing
Natural Language Processing (NLP) systems. Existing Tamil POS taggers are either not …

Abstract The use of Natural Language Processing (NLP) for Automated Essay Scoring (AES)
has been well explored in the English language, with benchmark models exhibiting …

Purpose The current natural language processing algorithms are still lacking in judgment
criteria, and these approaches often require deep knowledge of political or social contexts …

Sentiment analysis in code-mixed languages poses significant challenges, particularly for
highly under-resourced languages such as Tulu and Tamil. Existing corpora, primarily …

Regional languages are spoken within a specific geographical area or by a particular ethnic
group and may have official recognition or be used informally. Research on regional …

In India, handwritten character recognition is becoming necessity regionalwise due to new
education policy 2020. Various technologies are applied to solve the problem in this area …

We address the challenges and opportunities in the development of knowledge systems for
Sanskrit, with a focus on question answering. By proposing a framework for the automated …