Stopwords, also known as noise words, are the words that contain a little information which
is not usually required. Stopwords were discovered by HP Luhn in 1958. In the domain of …

Cross-language information retrieval (CLIR) deals with retrieving relevant documents in one
language using queries expressed in another language. As CLIR tools rely on translation …

Code comment, ie, the natural language text to describe the semantic of a code snippet, is
an important way for developers to comprehend the code. Recently, a number of …

In the last few years, electronic documents have been the main source of data in many
research areas like Web Mining, Information Retrieval, Artificial Intelligence, Natural …

In this paper analysis of different methods to remove stopwords in Punjabi language have
been done. For organizing unstructured text in order to implement stopwords removal …

Arabic is one of the Semitic languages in antiquity and one of the six official languages of
the UN. Also, Arabic classification plays a significant and essential role in modern …

With advent of Unicode encoding, Punjabi language content, written using gurmukhi script
as well as in shahmukhi script, is increasing day by day on internet. Processing textual …

Tools for Natural Language Processing work using linguistic resources, that are language-
specific. The complexity of building such resources causes many languages to lack them …

Dalam era digital saat ini, mencari informasi mengenai topik tertentu semakin mudah
dilakukan melalui mesin pencari seperti Google Scholar atau database artikel ilmiah …

In information retrieval, the key to an effective indexing can be achieved through the removal
of stop words. Despite having many theories and algorithms related to the construction of …