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 …

In the era of digital world, online information is growing exponentially. It leads to emergence
of inconvenient searching of relevant information in relevant time. In this regard, automatic …

The quality of stemming algorithms is typically measured in two different ways:(i) how
accurately they map the variant forms of a word to the same stem; or (ii) how much …

Current Sundanese stemmers either ignore reduplication words or define rules to handle
only affixes. There is a significant amount of reduplication words in the Sundanese …

Natural Language Processing for Government: Problems and Potential Page 1 DRAFT Natural
Language Processing for Government: Problems and Potential Yudhanjaya Wijeratne, Nisansa …

To enhance the Assamese stemmer several approaches and solutions by researchers have
been proposed. Such stemmers are important as the features are often applied for …

Language analysis is very important for the native speaker to connect with the digital world.
Assamese is a relatively unexplored language. In this report, we analyze different aspects of …

Stemmer is a fundamental NLP tool which performs the task of normalization (ie to remove
suffixes) of inflected word. This paper presents a stemmer, design and developed for Sindhi …

As the national language of Sri Lanka, the greater part of the exercises at most of all the
services are completed in Sinhala whereas it is imperative to guarantee the spelling and …

Significant issues in tokenization and stemming in natural language processing (NLP) are
addressed in this work, which oddly focuses Kingpin on the Limbu language. Two essential …