In recent years, Question Answering Systems (QASs) have been known as one of the most
significant tools to access information. QASs are search engines that can return a short and …

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 …

We propose an automated method for generating domain specific stop words to improve
classification of natural language content. Also we implemented a Bayesian natural …

Stop word identification is one of the most important tasks for many text processing
applications such as information retrieval. Stop words occur too frequently in documents in a …

In recent years, Question Answering Systems (QASs) have been known as one of the most
significant tools to access information. QASs are search engines that can return a short and …

We explore and evaluate the effect of stopwords in retrieval performance of different Indian
languages such as Marathi, Bengali, Gujarati and Sanskrit. The issue was investigated from …

A stopword is a word that does not add much semantic information to the text that despite of
its very high frequency. Stopwords include prepositions, conjunctions, and pronouns. One of …

We explore and evaluate the effect of different stopword lists (non-corpus-based and corpus-
based) in the information retrieval (IR) tasks with different Indian languages such as Bengali …

This research employed entropy based algorithm to identify stopwords candidate for Yoruba
Language texts. Two sets of corpus of 756,039 Yoruba words were used; the diacritized and …

By the advent of new information resources, search engines have encountered a new
challenge since they have been obliged to store a large amount of text materials. This is …