Stemming is a process in which the variant word forms are mapped to their base form. It is
among the basic text pre-processing approaches used in Language Modeling, Natural …

Stemming is a technique used to transform words to their root forms. It is used in various
Natural Language Processing applications to improve performance and accuracy. In this …

Our research proposed an iterative Sundanese stemmer by removing the derivational affixes
prior to the inflexional. This scheme was chosen because, in the Sundanese affixation, a …

With the advent of globalization epoch, the Internet-based resources for Urdu are increasing
in depth and breadth at a higher pace than ever and thus require a mechanism for …

This paper explores and evaluates the effect of different stopword removal and stemming
techniques in Urdu IR. The issues are examined from four viewpoints. Is there any …

Search and indexing systems bear a significant quality called word stemming, is lump of
content excavating requests, IR frameworks and natural language handling frameworks. The …

Stemming is an essential step in various Natural Language Processing (NLP) applications
and is used to reduce different variants of the query words to a standard form to avoid the …

The Urdu language is used by approximately 200 million people for spoken and written
communications on a daily basis. There is a substantial amount of unstructured Urdu textual …

Stemming is the process of removing the affixes from inflections and to return the root form.
Malayalam is highly agglutinative in nature and hundreds of inflections are possible for each …

Lemmatization aims to reduce the sparse data problem by relating the inflected forms of a
word to its dictionary form. Most prior work on ML based lemmatization has focused on high …