Natural language processing discusses the applications of computational technique
analysis and synthesis of natural languages. Semantic and morphological analysis are the …

Linguists have been focused on a qualitative comparison of the semantics from different
languages. Evaluation of the semantic interpretation among disparate language pairs like …

Semantic similarity, sometimes referred as semantic relatedness, is one of the important
concepts that help in various applications that involve natural language processing. In …

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 …

In the present days, the development of the internet has resulted in a significant rise in the
number of electronic documents in several regional languages. As Tamil Text data in digital …

The rate at which data is produced has increased dramatically in recent days. Without a
suitable category or tag, having a lot of data is merely useless information. The consumer …

This paper provides a method to find out misinformation pertaining to topics such as the
COVID-19 pandemic via an altered version of the tweet2vec model. In this version of the …

Word embedding represents the words in terms of vectors. It is influenced on different NLP
research areas such as document classification, author identification, sentiment analysis …

The recognition task of Multi-Word Named Entities (MNEs) in itself is a challenging task
when the language is inflectional and agglutinative. Having breakthrough NLP researches …

Automatic detection of the paraphrase is a process which has immense applications like
plagiarism detection and new event detection. Paraphrase is the representation of a given …