Gender equality is a major problem that places women at a disadvantage thereby stymieing
economic growth and societal advancement. In the last two decades, extensive research …

Automatic text summarization is an exertion of contriving the abridged form of a text
document covering salient knowledge. Numerous statistical, linguistic, rule-based, and …

The exponential increase in textual unstructured digital data creates significant demand for
advanced and smart stemming systems. As a preprocessing stage, stemming is applied in …

Text summarization is the process of producing a shorter version of a specific text. Automatic
summarization techniques have been applied to various domains such as medical, political …

Natural Language Processing (NLP) has been in practice for the past couple of decades,
and extensive work has been done for the Western languages, particularly the English …

Text stemming is one of the basic preprocessing step for Natural Language Processing
applications which is used to transform different word forms into a standard root form. For …

This article provides a detailed insight into computational approaches for deciphering
Bronze Age Aegean and Cypriot scripts, namely, the Archanes script and the Archanes …

Document clustering is the partitioning of a given collection of documents into various K-
groups based on some similarity/dissimilarity criterion. This task has applications in scope …

Word Stemming is a widely used mechanism in the fields of Natural Language Processing,
Information Retrieval, and Language Modeling. Language-independent stemmers discover …

Abstract In Information Retrieval systems, stemming handles the words that can occur in
different morphological forms, and hence matches the terms of the documents and the …