Because of the proliferation of Nepali textual documents online, researchers in Nepal and
overseas have started working towards its automated analysis for quick inferences, using …

Abstract Parts-of-Speech (POS) Tagging is one of the fundamental and pre-processing steps
for Natural Language Processing (NLP) tasks such as Text Summarization, Name Entity …

Automated news classification is the task of categorizing news into some predefined
category based on their content with the confidence learned from the training news dataset …

In Natural Language processing (NLP) the POS tagger plays an important role. Many of the
NLP applications such as speech recognition, machine learning information processing …

A Part-of-Speech (POS) tagger and Chunker (or shallow parser) are sequence labeling
tools, crucial for improving the accuracy of Natural Language Processing (NLP) tasks like …

Part of Speech (POS) tagging is the most fundamental task in various natural language
processing (NLP) applications such as speech recognition, information extraction and …

In recent times, sentiment analysis research has achieved tremendous impetus on English
textual data, however, a very less amount of research has been focused on Nepali textual …

Research results in different subdomains of NLP are enumerated and compared for Nepali,
Sindhi, and Konkani languages. These languages are spoken by relatively small …

Abstract Natural Language Processing deals with the understanding and generation of texts
through computer programs. There are many different functionalities used in this area, but …

In an attempt to expand the inclusiveness of Natural Language Processing, this paper
focuses on developing resources and building machine learning models to identify four …