Studies on natural language processing are mainly conducted in English, with very few
exploring languages that are under-resourced, including the Dravidian languages. We …

Automatic text summarization plays a significant role in natural language processing to
extract the useful information from the huge amount of online contents. Especially in …

Short‐term load forecasting is critical for power system planning and operations, and
ensemble forecasting methods for electricity loads have been shown to be effective in …

Part-of-Speech (PoS) tagging is a crucial component of natural language processing,
enabling syntactic and semantic analysis. This paper presents the development and …

Abstract Part-of-Speech (POS) tagging is one of the popular Natural Language Processing
(NLP) tasks. It is also considered to be a preliminary task for other NLP applications such as …

This paper aims to summarize the NLP-based technological development of the Tamil
language. Tamil is one of the Dravidian languages that are serious about technological …

An important area of research involving Artificial Intelligence (AI) is Natural Language
Processing (NLP). The objective of training a machine is to imitate and manipulate text and …

Reading information in your mother tongue gives the feeling of enjoying juice of fruit.
Researchers are working on regional languages to provide convenient and perfect …

This paper aims to summarize the NLP-based technological development of the Tamil
language. Tamil is one of the Dravidian languages that are serious about technological …

This paper addresses the vital task of transitioning from traditional Part-of-Speech (PoS)
tagging to Universal Part-of-Speech (UPoS) tagging within the linguistic context of the …